%{search_type} search results

175+ Cybersecurity Misconceptions and the Myth-Busting Skills You Need to Correct Them Cybersecurity is fraught with hidden and unsuspected dangers and difficulties. Despite our best intentions, there are common and avoidable mistakes that arise from folk wisdom, faulty assumptions about the world, and our own human biases. Cybersecurity implementations, investigations, and research all suffer as a result. Many of the bad practices sound logical, especially to people new to the field of cybersecurity, and that means they get adopted and repeated despite not being correct. For instance, why isn't the user the weakest link? In Cybersecurity Myths and Misconceptions: Avoiding the Hazards and Pitfalls that Derail Us, three cybersecurity pioneers don't just deliver the first comprehensive collection of falsehoods that derail security from the frontlines to the boardroom; they offer expert practical advice for avoiding or overcoming each myth. Whatever your cybersecurity role or experience, Eugene H. Spafford, Leigh Metcalf, and Josiah Dykstra will help you surface hidden dangers, prevent avoidable errors, eliminate faulty assumptions, and resist deeply human cognitive biases that compromise prevention, investigation, and research. Throughout the book, you'll find examples drawn from actual cybersecurity events, detailed techniques for recognizing and overcoming security fallacies, and recommended mitigations for building more secure products and businesses. Read over 175 common misconceptions held by users, leaders, and cybersecurity professionals, along with tips for how to avoid them. Learn the pros and cons of analogies, misconceptions about security tools, and pitfalls of faulty assumptions. What really is the weakest link? When aren't "best practices" best? Discover how others understand cybersecurity and improve the effectiveness of cybersecurity decisions as a user, a developer, a researcher, or a leader. Get a high-level exposure to why statistics and figures may mislead as well as enlighten. Develop skills to identify new myths as they emerge, strategies to avoid future pitfalls, and techniques to help mitigate them. "You are made to feel as if you would never fall for this and somehow this makes each case all the more memorable. ... Read the book, laugh at the right places, and put your learning to work. You won't regret it."--The Foreword by Vint Cerf, Internet Hall of Fame Pioneer Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details

• 1. Introductio
• n2. Cybersecurity Applications in Data Scienc
• e3. Cybersecurity Applications in Internet of Thing
• s4. Cybersecurity Applications in Artificial Intelligenc
• e5. Cybersecurity Applications in Robotic
• s6. Cybersecurity Applications in We
• b7. Cybersecurity Applications in High-Tech System
• s8. Cybersecurity Applications in Cyber-Physical System
• s9. Cybersecurity Applications in Mobile Device
• s10. Cybersecurity Applications in Digital Medi
• a11. Cybersecurity Applications in Cloud Computin
• g12. Cybersecurity Applications in Distributed System
• s13. Cybersecurity Applications in Vehicle
• s14. Cybersecurity Applications in Supply Chai
• n15. Cybersecurity Applications in Trustworthy Computin
• g16. Cybersecurity Applications in Database
• s17. Cybersecurity Applications in Operating System
• s18. Cybersecurity Applications in Softwar
• e19. Cybersecurity Applications in Virtualizatio
• n20. Cybersecurity Applications in Biometric
• s21. Cybersecurity Applications in Educatio
• n22. Cybersecurity Applications in Blockchain
• s23. Conclusion.
• (source: Nielsen Book Data)

This book provides an essential compilation of relevant and cutting edge academic and industry work on key cybersecurity applications topics. Further, it introduces cybersecurity applications to the public at large to develop their cybersecurity applications knowledge and awareness. The book concentrates on a wide range of advances related to Cybersecurity Applications which include, among others, applications in the areas of Data Science, Internet of Things, Artificial Intelligence, Robotics, Web, High-Tech Systems, Cyber-Physical Systems, Mobile Devices, Digital Media, and Cloud Computing. It introduces the concepts, techniques, methods, approaches and trends needed by cybersecurity application specialists and educators for keeping current their cybersecurity applications knowledge. Further, it provides a glimpse of future directions where cybersecurity applications are headed. The book can be a valuable resource to applied cybersecurity experts towards their professional development efforts and to students as a supplement to their cybersecurity courses.
(source: Nielsen Book Data)

• Chapter 1: Before We Begin
• Chapter 2: Cybersecurity 101
• Chapter 3: First Things First
• Chapter 4: Passwords
• Chapter 5: Computer Security
• Chapter 6: Lan Sweet Lan
• Chapter 7: Practice Safe Surfing
• Chapter 8: Secure Communication
• Chapter 9: Online Accounts and Social Media
• Chapter 10: Parental Guidance
• Chapter 11: Dont Be a Smart Phone Dummy
• Chapter 12: Odds and Ends
• Chapter 13: Parting Thoughts
• Chapter 14: Glossary.

Rely on this practical, comprehensive guide to significantly improve your cyber safety and data privacy. This book was written expressly for regular, everyday people -- though even technically savvy readers will find many useful tips here. This book contains everything you need to protect yourself-step by step, without judgment, and with as little jargon as possible. Protecting your digital domain is much like defending a medieval castle. Wide moats, towering walls and trained guards provide defense in depth, safeguarding the people and property within against the most common threats. But attempting to dragon-proof your castle would be counterproductive and costly. The goal of this book is to keep your devices and data safe from the most likely and impactful hazards - not a targeted attack by the NSA. Like wearing seat belts and sunscreen in the real world, there are dozens of simple, effective precautions we need to take in the virtual world. Author Carey Parker has structured this book to give you maximum benefit with minimum effort. If you just want to know what you need to do, each chapter includes a detailed checklist of expert tips. But the book also explains why you need to do these things, using entertaining analogies and straightforward explanations. This revised and expanded fifth edition includes: Updated for Windows 11, macOS 13 (Ventura), iOS 16 and Android 13. Updated recommendations for most secure and private products. Over 200 tips with complete step-by-step instructions and screenshots. What You Will Learn Maximize your computer and smartphone security. Minimize your vulnerabilities and data footprint. Solve your password problems and use two-factor authentication. Browse the web safely and confidently with a secure, private browser. Shop and bank online with maximum security and peace of mind. Defend against identity theft, ransomware and online scams. Safeguard your children online, at home and in school. Block online tracking, data mining and malicious online ads. Send files and messages with end-to-end encryption. Secure your home network and keep your smart devices from spying on you. Create automated backups of all your devices. Learn how to deal with account hacks, data. breaches and viruses. Understand how computers, the internet, VPNs and encryption really work And much more!.
(source: Nielsen Book Data)

• Foreword
• Preface
• 1 Cybersecurity in Digital Transformation
• 2 Threats and Threat Intelligence
• 3 Intrusion Detection and Prevention
• 4 Cyber-Attacker Profiles, Cyber-Attack Models and Scenarios, and Cybersecurity Ontology
• 5 NIST Cybersecurity Framework and MITRE Cybersecurity Criteria
• 6 Ransomware Attacks and Scenarios: Cost Factors and Loss of Reputation
• 7 Cybersecurity Maturity Models and SWOT Analysis
• 8 Machine Learning and Deep Learning
• Glossary
• Index.

In today's digital transformation environments, a rigorous cybersecurity approach to effective risk management -- including contingency planning, outlining immediate actions, preparing post-breach response -- is central to defending organizations' interconnected computer systems, networks, and infrastructure resources from malicious cyber-attacks. Specifically, cybersecurity technologies, processes, and practices need to be generalized and applied to intrusion detection and prevention measures. This entails analyzing profiles of cyber-attackers and building cyber-attack models for behavior simulation that can effectively counter such attacks. This comprehensive volume aims to cover all essential aspects of cybersecurity in digital transformation and to provide a framework for considering the many objectives and requirements involved. In addition to introducing theoretical foundations, the work also offers practical techniques for defending against malicious cybercriminals. Topics and features: Explores cybersecurity's impact on the dynamics of interconnected, complex cyber- and physical systems, infrastructure resources, and networks Provides numerous examples of applications and best practices Considers methods that organizations can use to assess their cybersecurity awareness and/or strategy Describes anomaly intrusion detection, a key tool in thwarting both malware and theft (whether by insiders or external parties) of corporate data Addresses cyber-attacker profiles, cyber-attack models and simulation, cybersecurity ontology, access-control mechanisms, and policies for handling ransomware attacks Discusses the NIST Cybersecurity Framework, MITRE Adversarial Tactics, Techniques and Common Knowledge, CIS Critical Security Controls, and the ISA/IEC 62442 Cybersecurity Standard Gathering all the relevant information, this practical guide is eminently suitable as a self-study resource for engineers, scientists, computer scientists, and chief information officers. Further, with its many examples of best practices, it can serve as an excellent text for graduate-level courses and research into cybersecurity. Dietmar P. F. Möller, a retired full professor, is affiliated with the Institute for Mathematics at Clausthal University of Technology, Germany. He was an author of several other Springer titles, including Guide to Automotive Connectivity and Cybersecurity.

• Introduction.- Hardware Security Primitives and their Applications.- Racetrack PUF.- TERO PUF.- Direct Characterization PUF.- Volatile Memory Based PUF.- Emerging Memory Based PUF.- Extrinsic Characterization of PUF.- Radio PUFs and CoAs.- Optical PUFs.- True Random Number Generators.- Hardware Camouflaging.- Temper Detection Methods.- Embedded Watermarking.- Counterfeit and Recycled IC Detection.- Package-Level Counterfeit IC Detection.- Side Channels Protection in Cryptographic Hardware.- Fault Injection Resistant Cryptographic Hardware.- Energy and Performance Optimization for Cryptography.- Lightweight Cryptography.- Post-Quantum Cryptography.- Virtual Proof of Reality.- Analog Security.
• (source: Nielsen Book Data)

This book provides an overview of current hardware security primitives, their design considerations, and applications. The authors provide a comprehensive introduction to a broad spectrum (digital and analog) of hardware security primitives and their applications for securing modern devices. Readers will be enabled to understand the various methods for exploiting intrinsic manufacturing and temporal variations in silicon devices to create strong security primitives and solutions. This book will benefit SoC designers and researchers in designing secure, reliable, and trustworthy hardware. Provides guidance and security engineers for protecting their hardware designs; Covers a variety digital and analog hardware security primitives and applications for securing modern devices; Helps readers understand PUF, TRNGs, silicon odometer, and cryptographic hardware design for system security.
(source: Nielsen Book Data)

• Cover
• Title Page
• Copyright and Credit
• Dedicated
• Foreword
• Contributors
• Table of Contents
• Preface
• Part 1: Invisible Digitization Tsunami
• Chapter 1: Invisible Digitization Tsunami
• Digital transformation
• An invisible hand
• Summary
• Chapter 2: Going Digital
• Hello Alexa, Siri, Google, Cortana, and more
• The role of digital calendars
• Digital and physical socialization
• Cameras everywhere
• Digital wearables
• oh, my heart
• Advanced features in wearables
• What is real?
• Summary
• Chapter 3: Visible and Invisible Risks
• Risks in digital life

• Visible risks
• Invisible risks
• When does risk become visible?
• Hit by password phishing
• Use of your credit cards
• Ransomware
• Invading privacy and extortion/phone spying
• Summary
• Chapter 4: Remote Working and the Element of Trust
• Remote working
• not new for everyone
• Pandemic and remote working
• View of remote working for various industries
• Risks to organizations
• Summary
• Chapter 5: The Emergence of Zero Trust and Risk Equation
• Zero Trust in real life
• Zero Trust is a new digital transformation
• Lesson learned from a global pandemic

• Modern principles of Zero Trust
• The NIST approach to Zero Trust architecture
• The Sunburst attack example
• Zero Trust across the digital estate
• Example of controlling access with intelligent policies and continuous risk assessment
• Zero Trust makes compliance easier
• Isolation
• Monitoring and visibility
• Summary
• Part 2: Risk Redefined at Work
• Chapter 6: The Human Risk at the Workplace
• Innocent intent
• Start of day
• During the day
• Wrapping up
• A quick relook at the risks
• Good worker
• Start of the day
• During the day
• Wrapping up
• Self-obsessed

• Rebel intent
• Malicious intent
• Summary
• Chapter 7: Modern Collaboration and Risk Amplification
• Evolving to the new workspace, where the flow of information is versatile
• Versatile collaboration
• some questions
• Challenges of a hybrid setup
• Future devices and their risk profile
• Polarization of opinions and its possible impact on modern collaboration
• Summary
• Chapter 8: Insider Risk and Impact
• Case study
• insider risk at Roposo Ltd
• Context
• Actor and the plot
• The crime
• The aftermath
• The lessons
• Understanding the impact of insider risk

• Primary costs of insider risk
• A summarized view of the impact of insider risk
• Summary
• Chapter 9: Real Examples and Scenarios
• Insider risk
• definition and threat vectors
• Insider risk
• behaviors and technical trends to look out for
• Behavioral indicators
• Technical indicators
• Using the MITRE ATT&CK framework to detect insider threat and behavior
• Case study 1
• exploits in the life sciences sector
• Solution and outcome
• Case study 2
• a victim of a phishing attack
• Solution and outcome
• Case study 3
• working from home
• Solution and outcome

• Case study 4
• AT&T

With the rapid pace of digital change today, especially since the pandemic sped up digital transformation and technologies, it has become more important than ever to be aware of the unknown risks and the landscape of digital threats. This book highlights various risks and shows how business-as-usual operations carried out by unaware or targeted workers can lead your organization to a regulatory or business risk, which can impact your organization's reputation and balance sheet. This book is your guide to identifying the topmost risks relevant to your business with a clear roadmap of when to start the risk mitigation process and what your next steps should be. With a focus on the new and emerging risks that remote-working companies are experiencing across diverse industries, you'll learn how to manage risks by taking advantage of zero trust network architecture and the steps to be taken when smart devices are compromised. Toward the end, you'll explore various types of AI-powered machines and be ready to make your business future-proof. In a nutshell, this book will direct you on how to identify and mitigate risks that the ever- advancing digital technology has unleashed.

• Introduction
• Acquisition Management
• Continuity Planning and Disaster Recovery
• Cyber Defense Analysis and Support
• Cyber Intelligence
• Cyber Intelligence Analysis
• Cyber Operational Planning
• Cyber Policy and Strategy Management
• Cyber Threat Analysis
• Cybersecurity Management
• Forensics Analysis
• Identity Management
• Incident Response.

This updated textbook is for courses in cyber security education that follow the National Initiative for Cybersecurity Education (NICE) framework which adopts the Competency- Based Education (CBE) method. The book creates content based on the Knowledge, Skills and Abilities (a.k.a. KSAs) described in the NICE framework. This book focuses on cyber analytics and intelligence areas. The book has 18 chapters: Introduction, Acquisition Management, Continuity Planning and Disaster Recovery, Cyber Defense Analysis and Support, Cyber Intelligence, Cyber Intelligence Analysis, Cyber Operational Planning, Cyber Policy and Strategy Management, Cyber Threat Analysis, Cybersecurity Management, Forensics Analysis, Identity Management, Incident Response, Collection Operations, Computer Network Defense, Data Analysis, Threat Analysis and last chapter, Vulnerability Assessment. Updated to mirror classes set up by the US-based National Initiative for Cybersecurity Education (NICE); Used by universities, corporations, and in government training; Includes content that provides skill-based instruction.

• Chapter 1: The Hydra of Modern Identity
• Chapter 2: The Life of an Identity
• Chapter 3: Evolution of Identity
• Chapter 4: Identity Provisioning
• Chapter 5: OAuth 2.0 and API Authorization
• Chapter 6: OIDC OpenID Connect
• Chapter 7: SAML 2
• Chapter 8: Authorization and Policy Enforcement
• Chapter 9: Sessions
• Chapter 10: Using Modern Identity to Build Applications
• Chapter 11: Single Sign-on
• Chapter 12: Strong Authentication
• Chapter 13: Logout
• Chapter 14: Account Management
• Chapter 15: Deprovisioning
• Chapter 16: Troubleshooting
• Chapter 17: Exceptions
• Chapter 18: Less Common Requirements
• Chapter 19: Failures
• Chapter 20: Compliance
• Chapter 21: Looking into the Crystal Ball
• Chapter 22: Conclusion
• Appendix A: Glossary
• Appendix B: Resources for Further Learning
• Appendix C: SAML Authentication Request and Response
• Appendix D: Public Key Cryptography
• Appendix E: Troubleshooting Tools
• Appendix F: Privacy Legislation
• Appendix G: Security Compliance Frameworks.

Know how to design and use identity management to protect your application and the data it manages. At a time when security breaches result in increasingly onerous penalties, it is paramount that application developers and owners understand identity management and the value it provides when building applications. This book takes you from account provisioning to authentication to authorization, and covers troubleshooting and common problems to avoid. The authors include predictions about why this will be even more important in the future. Application best practices with coding samples are provided. Solving Identity and Access Management in Modern Applications gives you what you need to design identity and access management for your applications and to describe it to stakeholders with confidence. You will be able to explain account creation, session and access management, account termination, and more.This expanded edition has been revised to provide an overview of the new version of OAuth (2.1) the primary changes in this version, including features that were removed from 2.1 that were in 2.0 and why they were removed. The discussion of the book's accompanying sample application has been revised to cover in more depth the approach for developing the application (also revised). A new section has been added on the OAuth 2.0 Device Authorization Grant (RFC 8628) specification, which is useful for devices with limited UI capability. Minor additions include the topics of identity proofing, the need to capture and organize consent information, the impact of tracking prevention technology on certain identity protocols, and the availability of additional options for authorization requests such as OAuth 2.0 Rich Authorization Requests and JWT-Secured Authorization Requests (RFC 9101). What You'll Learn* Understand key identity management concepts* Incorporate essential design principles* Design authentication and access control for a modern application* Know the identity management frameworks and protocols used today (OIDC/OAuth 2.0/2.1, SAML 2.0)* Review historical failures and know how to avoid them Who This Book Is ForDevelopers, enterprise or application architects, business application or product owners, and anyone involved in an application's identity management solution.
(source: Nielsen Book Data)

• 1. Design And Implementation Of Mobile Jammer For High Security System
• 2. Dual Security Based Attendence System By Using Face Recognition And Rfid With Gsm
• 3. Disasteranalysison Government Data
• 4. Edf: An Enhancement Of Droid Fusion Framework For Mitigation Of Multi Class Malware
• 5. Early Prediction Of Chronic Kidney Disease Using Predictive Analytics
• 6. Monitoring Suspicious Discussion On Online Forum
• 7. Ergonomicallydesignedsystem Forlicenseplate Recognition Usingimage Processingtechnique
• 8. Blockchain Based Privacy Securing G-Cloud Framework For E-Healthcare Service
• 9. Development Of Raspberry Pibot Surveillance Security System
• 10. Image Security Based On Rotational Visual Cryptography
• 11. Development Of Safety Monitoring For An Iot-Enabled Smart Environment
• 12. Deep Transfer Learning For Detecting Cyber Attacks
• 13. Data Security In Cloud With Hybrid Homomorphic Encryption Technique Using Gm Rsa Algorithm
• 14. Pragmatic Reform To Ameliorate Insider Data Theft Detection
• 15. Automatic Vehicle Alert And Accident Detection System Based On Cloud Using Iot
• 16. A Novel Architecture For Detecting And Preventing Network Intrusions
• 17. Cyber Hacking Breaches For Demonstrating And Forecasting
• 18. Enhancedsecurity With Crystographyusing Aes And Lsb
• 19. A Smart Security Systems Using National Instruments Myrio
• 20. Severity And Risk Predictions Of Diabetes On Covid-19 Using Machine Learning Techniques
• 21. Detection Of Cyber Threats In application platforms.

This book highlights the three pillars of data security, viz protecting data at rest, in transit, and in use. Protecting data at rest means using methods such as encryption or tokenization so that even if data is copied from a server or database, a thief cannot access the information. Protecting data in transit means making sure unauthorized parties cannot see information as it moves between servers and applications. There are well-established ways to provide both kinds of protection. Protecting data while in use, though, is especially tough because applications need to have data in the clear--not encrypted or otherwise protected--in order to compute. But that means malware can dump the contents of memory to steal information. It does not really matter if the data was encrypted on a server’s hard drive if it is stolen while exposed in memory. As computing moves to span multiple environments--from on-premise to public cloud to edge--organizations need protection controls that help safeguard sensitive IP and workload data wherever the data resides. Many organizations have declined to migrate some of their most sensitive applications to the cloud because of concerns about potential data exposure. Confidential computing makes it possible for different organizations to combine data sets for analysis without accessing each other’s data.

• Table of Contents Security Posture Incident Response Process What is a Cyber Strategy? Understanding the Cybersecurity Kill Chain Reconnaissance Compromising the System Chasing a User's Identity Lateral Movement Privilege Escalation Security Policy Network Security Active Sensors Threat Intelligence Investigating an Incident Recovery Process Vulnerability Management Log Analysis.
• (source: Nielsen Book Data)

Updated edition of the bestselling guide for planning attack and defense strategies based on the current threat landscape Key Features Updated for ransomware prevention, security posture management in multi-cloud, Microsoft Defender for Cloud, MITRE ATT&CK Framework, and more Explore the latest tools for ethical hacking, pentesting, and Red/Blue teaming Includes recent real-world examples to illustrate the best practices to improve security posture Book DescriptionCybersecurity - Attack and Defense Strategies, Third Edition will bring you up to speed with the key aspects of threat assessment and security hygiene, the current threat landscape and its challenges, and how to maintain a strong security posture. In this carefully revised new edition, you will learn about the Zero Trust approach and the initial Incident Response process. You will gradually become familiar with Red Team tactics, where you will learn basic syntax for commonly used tools to perform the necessary operations. You will also learn how to apply newer Red Team techniques with powerful tools. Simultaneously, Blue Team tactics are introduced to help you defend your system from complex cyber-attacks. This book provides a clear, in-depth understanding of attack/defense methods as well as patterns to recognize irregular behavior within your organization. Finally, you will learn how to analyze your network and address malware, while becoming familiar with mitigation and threat detection techniques. By the end of this cybersecurity book, you will have discovered the latest tools to enhance the security of your system, learned about the security controls you need, and understood how to carry out each step of the incident response process. What you will learn Learn to mitigate, recover from, and prevent future cybersecurity events Understand security hygiene and value of prioritizing protection of your workloads Explore physical and virtual network segmentation, cloud network visibility, and Zero Trust considerations Adopt new methods to gather cyber intelligence, identify risk, and demonstrate impact with Red/Blue Team strategies Explore legendary tools such as Nmap and Metasploit to supercharge your Red Team Discover identity security and how to perform policy enforcement Integrate threat detection systems into your SIEM solutions Discover the MITRE ATT&CK Framework and open-source tools to gather intelligence Who this book is forIf you are an IT security professional who wants to venture deeper into cybersecurity domains, this book is for you. Cloud security administrators, IT pentesters, security consultants, and ethical hackers will also find this book useful. Basic understanding of operating systems, computer networking, and web applications will be helpful.
(source: Nielsen Book Data)

• Table of Contents Why You Need a Threat Intelligence Program Threat Actors, Campaigns, and Tooling Guidelines and Policies Threat Intelligence Frameworks, Standards, Models, and Platforms Operational Security (OPSEC) Technical Threat Intelligence - Collection Technical Threat Analysis - Enrichment Technical Threat Analysis - Threat Hunting and Pivoting Technical Threat Analysis - Similarity Analysis Preparation and Dissemination Fusion into Other Enterprise Operations Overview of Datasets and Their Practical Application Conclusion.
• (source: Nielsen Book Data)

Learn cyber threat intelligence fundamentals to implement and operationalize an organizational intelligence program Key Features Develop and implement a threat intelligence program from scratch Discover techniques to perform cyber threat intelligence, collection, and analysis using open-source tools Leverage a combination of theory and practice that will help you prepare a solid foundation for operationalizing threat intelligence programs Book DescriptionWe're living in an era where cyber threat intelligence is becoming more important. Cyber threat intelligence routinely informs tactical and strategic decision-making throughout organizational operations. However, finding the right resources on the fundamentals of operationalizing a threat intelligence function can be challenging, and that's where this book helps. In Operationalizing Threat Intelligence, you'll explore cyber threat intelligence in five fundamental areas: defining threat intelligence, developing threat intelligence, collecting threat intelligence, enrichment and analysis, and finally production of threat intelligence. You'll start by finding out what threat intelligence is and where it can be applied. Next, you'll discover techniques for performing cyber threat intelligence collection and analysis using open source tools. The book also examines commonly used frameworks and policies as well as fundamental operational security concepts. Later, you'll focus on enriching and analyzing threat intelligence through pivoting and threat hunting. Finally, you'll examine detailed mechanisms for the production of intelligence. By the end of this book, you'll be equipped with the right tools and understand what it takes to operationalize your own threat intelligence function, from collection to production. What you will learn Discover types of threat actors and their common tactics and techniques Understand the core tenets of cyber threat intelligence Discover cyber threat intelligence policies, procedures, and frameworks Explore the fundamentals relating to collecting cyber threat intelligence Understand fundamentals about threat intelligence enrichment and analysis Understand what threat hunting and pivoting are, along with examples Focus on putting threat intelligence into production Explore techniques for performing threat analysis, pivoting, and hunting Who this book is forThis book is for cybersecurity professionals, security analysts, security enthusiasts, and anyone who is just getting started and looking to explore threat intelligence in more detail. Those working in different security roles will also be able to explore threat intelligence with the help of this security book.
(source: Nielsen Book Data)

• Table of Contents Contextualizing Threats and Today's Challenges Purple Teaming - a Generic Approach and a New Model Carrying Out Adversary Emulation with CTI Threat Management - Detecting, Hunting, and Preventing Red Team Infrastructure Blue Team - Collect Blue Team - Detect Blue Team - Correlate Purple Team Infrastructure Purple Teaming the ATT&CK Tactics Purple Teaming with BAS and Adversary Emulation PTX - Purple Teaming eXtended PTX - Automation and DevOps Approach Exercise Wrap-Up and KPIs.
• (source: Nielsen Book Data)

Leverage cyber threat intelligence and the MITRE framework to enhance your prevention mechanisms, detection capabilities, and learn top adversarial simulation and emulation techniques Key Features Apply real-world strategies to strengthen the capabilities of your organization's security system Learn to not only defend your system but also think from an attacker's perspective Ensure the ultimate effectiveness of an organization's red and blue teams with practical tips Book DescriptionWith small to large companies focusing on hardening their security systems, the term "purple team" has gained a lot of traction over the last couple of years. Purple teams represent a group of individuals responsible for securing an organization's environment using both red team and blue team testing and integration - if you're ready to join or advance their ranks, then this book is for you. Purple Team Strategies will get you up and running with the exact strategies and techniques used by purple teamers to implement and then maintain a robust environment. You'll start with planning and prioritizing adversary emulation, and explore concepts around building a purple team infrastructure as well as simulating and defending against the most trendy ATT&CK tactics. You'll also dive into performing assessments and continuous testing with breach and attack simulations. Once you've covered the fundamentals, you'll also learn tips and tricks to improve the overall maturity of your purple teaming capabilities along with measuring success with KPIs and reporting. With the help of real-world use cases and examples, by the end of this book, you'll be able to integrate the best of both sides: red team tactics and blue team security measures. What you will learn Learn and implement the generic purple teaming process Use cloud environments for assessment and automation Integrate cyber threat intelligence as a process Configure traps inside the network to detect attackers Improve red and blue team collaboration with existing and new tools Perform assessments of your existing security controls Who this book is forIf you're a cybersecurity analyst, SOC engineer, security leader or strategist, or simply interested in learning about cyber attack and defense strategies, then this book is for you. Purple team members and chief information security officers (CISOs) looking at securing their organizations from adversaries will also benefit from this book. You'll need some basic knowledge of Windows and Linux operating systems along with a fair understanding of networking concepts before you can jump in, while ethical hacking and penetration testing know-how will help you get the most out of this book.
(source: Nielsen Book Data)

• Introduction.- Relevant Topics from Abstract Algebra.- Secret Sharing.- A Toy MPC Protocol.- The BGW Perfectly-Secure MPC Protocol for Linear Functions.- The BGW Perfectly-Secure MPC Protocol for Any Arbitrary Function.- Perfectly-Secure MPC in the Pre-Processing Model.- Perfectly-Secure MPC Tolerating General Adversaries.- Perfectly-Secure MPC for Small Number of parties.- The GMW MPC Protocol.- Oblivious Transfer.
• (source: Nielsen Book Data)

This book focuses on multi-party computation (MPC) protocols in the passive corruption model (also known as the semi-honest or honest-but-curious model). The authors present seminal possibility and feasibility results in this model and includes formal security proofs. Even though the passive corruption model may seem very weak, achieving security against such a benign form of adversary turns out to be non-trivial and demands sophisticated and highly advanced techniques. MPC is a fundamental concept, both in cryptography as well as distributed computing. On a very high level, an MPC protocol allows a set of mutually-distrusting parties with their private inputs to jointly and securely perform any computation on their inputs. Examples of such computation include, but not limited to, privacy-preserving data mining; secure e-auction; private set-intersection; and privacy-preserving machine learning. MPC protocols emulate the role of an imaginary, centralized trusted third party (TTP) that collects the inputs of the parties, performs the desired computation, and publishes the result. Due to its powerful abstraction, the MPC problem has been widely studied over the last four decades.
(source: Nielsen Book Data)

• Introduction Understanding Cybersecurity Awareness Building Cybersecurity Awareness Understanding Cybersecurity Behaviour Changing Cybersecurity Behaviour Understanding Cybersecurity Culture Creating and Changing Culture Where Next? .
• (source: Nielsen Book Data)

Cybersecurity issues, problems and incidents don't always relate to technological faults. Many can be avoided or mitigated through improved cybersecurity awareness, behaviour and culture change (ABCs). This book guides organisations looking to create an enhanced security culture through improved understanding and practice of cybersecurity at an individual level. Key awareness, behaviour and culture concepts are covered from the ground up, alongside practical tips and examples.
(source: Nielsen Book Data)

• 1. Reference Architecture of an Autonomous Agent for Cyber Defense of Complex Military Systems.-
• 2. Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges.-
• 3. Exploring Adversarial Artificial Intelligence for Autonomous Adaptive Cyber Defense.-
• 4. Can Cyber Operations be Made Autonomous? An Answer from the Situational Awareness Viewpoint.-
• 5. A framework for studying autonomic computing models in cyber deception.-
• 6. Autonomous Security Mechanisms for High-Performance Computing Systems: Review and Analysis.-
• 7. Automated Cyber Risk Mitigation: Making Informed Cost-effective Decisions.-
• 8. Plan Interdiction Games.-
• 9. Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance.-
• 10. Strategic Learning for Active, Adaptive, and Autonomous Cyber Defense.-
• 11. Online Learning Methods for Controlling Dynamic Cyber Deception Strategies.-
• 12. Phishing URL Detection with Lexical Features and Blacklisted Domains.-
• 13. An Empirical Study of Secret Security Patch in Open Source Software.
• (source: Nielsen Book Data)

This book explores fundamental scientific problems essential for autonomous cyber defense. Specific areas include: Game and control theory-based moving target defenses (MTDs) and adaptive cyber defenses (ACDs) for fully autonomous cyber operations; The extent to which autonomous cyber systems can be designed and operated in a framework that is significantly different from the human-based systems we now operate; On-line learning algorithms, including deep recurrent networks and reinforcement learning, for the kinds of situation awareness and decisions that autonomous cyber systems will require; Human understanding and control of highly distributed autonomous cyber defenses; Quantitative performance metrics for the above so that autonomous cyber defensive agents can reason about the situation and appropriate responses as well as allowing humans to assess and improve the autonomous system. This book establishes scientific foundations for adaptive autonomous cyber systems and ultimately brings about a more secure and reliable Internet. The recent advances in adaptive cyber defense (ACD) have developed a range of new ACD techniques and methodologies for reasoning in an adaptive environment. Autonomy in physical and cyber systems promises to revolutionize cyber operations. The ability of autonomous systems to execute at scales, scopes, and tempos exceeding those of humans and human-controlled systems will introduce entirely new types of cyber defense strategies and tactics, especially in highly contested physical and cyber environments. The development and automation of cyber strategies that are responsive to autonomous adversaries pose basic new technical challenges for cyber-security. This book targets cyber-security professionals and researchers (industry, governments, and military). Advanced-level students in computer science and information systems will also find this book useful as a secondary textbook.
(source: Nielsen Book Data)

• Chapter 1. Introduction.-
• Chapter 2. Security Design.-
• Chapter 3. Authentication.-
• Chapter 4. Authorization.-
• Chapter 5. Cryptography.-
• Chapter 6. Virtualization.-
• Chapter 7. Security principles.-
• Chapter 8. Malware.-
• Chapter 9. SQL Injection.-
• Chapter 10. DoS.-
• Chapter 11. Worms.-
• Chapter 12. Virus.-
• Chapter 13. Malicious Code.-
• Chapter 14. Intrusion Detection Systems.-
• Chapter 15. Vulnerability.-
• Chapter 16. Cyber Laws.-
• Chapter 17. Cyber Crime.-
• Chapter 18. Homeland Security.-
• Chapter 19. Cryptocurrency.-
• Chapter 20. BitCoin.-
• Chapter 21. Block chain.-
• Chapter 22. Phishing.-
• Chapter 23. Spoofing.-
• Chapter 24. Cyber War.-
• Chapter 25. Hacktivism.-
• Chapter 26. Distributed Denial of Service (DDoS).-
• Chapter 27. Identity Fraud.-
• Chapter 28. Honeypot.-
• Chapter 29. Keylogging.-
• Chapter 30. Scareware.-
• Chapter 31. Spam.-
• Chapter 32. Sponsored Attacks.-
• Chapter 33. Sneakernet.-
• Chapter 34. Virtual Militray Technologies.-
• Chapter 35. Zero Day.-
• Chapter 36. Intrusion prevention system (IPS).-
• Chapter 37. Macro virus.-
• Chapter 38. Wannacry.-
• Chapter 39. Conclusion.
• (source: Nielsen Book Data)

This book contains research contributions from leading cyber security scholars from around the world. The authors provide comprehensive coverage of various cyber security topics, while highlighting recent trends. The book also contains a compendium of definitions and explanations of concepts, processes, acronyms, and comprehensive references on existing literature and research on cyber security and analytics, information sciences, decision systems, digital forensics, and related fields. As a whole, the book is a solid reference for dynamic and innovative research in the field, with a focus on design and development of future-ready cyber security measures. Topics include defenses against ransomware, phishing, malware, botnets, insider threats, and many others.
(source: Nielsen Book Data)