Book — 1 online resource (ix, 238 pages) : illustrations (some color) Digital: text file.PDF.
Introduction to Swarm Search.- Cooperative "Swarm Cleaning" of Stationary Domains.- Swarm Search of Expanding Regions in Grids: Lower Bounds.- Swarm Search of Expanding Regions in Grids: Upper Bounds.- The Search Complexity of Collaborative Swarms Expanding Z2 Grid Regions.
(source: Nielsen Book Data)
This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones. It discusses frameworks for robustly and near-optimally analyzing flocks of semi-autonomous vehicles designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined "search regions". It discusses the theoretical limitations of such systems, as well as the trade-offs between the systems' various economic and operational parameters. Current UAV systems rely mainly on human operators for the design and adaptation of drones' flying routes. However, recent technological advances have introduced new systems, comprised of a small number of self-organizing vehicles, manually guided at the swarm level by a human operator. With the growing complexity of such man-supervised architectures, it is becoming increasingly harder to guarantee a pre-defined level of performance. The use of large scale swarms of UAVs as a combat and reconnaissance platform therefore necessitates the development of an efficient optimization mechanism of their utilization, specifically in the design and maintenance of their patrolling routes. The book is intended for researchers and engineers in the fields of swarms systems and autonomous drones. . (source: Nielsen Book Data)
Introduction to Security and Privacy in Social Networks / Yuval Elovici and Yaniv Altshuler
Interdisciplinary Impact Analysis of Privacy in Social Networks / Michael Netter, Sebastian Herbst and Günther Pernul
Recognizing Your Digital Friends / Patrik Bichsel, Jan Camenisch and Mario Verdicchio
Encryption for Peer-to-Peer Social Networks / Oleksandr Bodriagov and Sonja Buchegger
Crowdsourcing and Ethics / The Employment of Crowdsourcing Workers for Tasks that Violate Privacy and Ethics / Christopher G. Harris and Padmini Srinivasan
The Effect of Social Status on Decision-Making and Prices in Financial Networks / Yoel Krasny
Stealing Reality: When Criminals Become Data Scientists (or Vice Versa) / Yaniv Altshuler, Nadav Aharony, Yuval Elovici, Alex Pentland and Manuel Cebrian
Applications of k-Anonymity and ℓ-Diversity in Publishing Online Social Networks / Na Li and Sajal K. Das
Links Reconstruction Attack / Using Link Prediction Algorithms to Compromise Social Networks Privacy / Michael Fire, Gilad Katz, Lior Rokach and Yuval Elovici
An Analysis of Anonymity in the Bitcoin System / Fergal Reid and Martin Harrigan
Privacy-Preserving Data Integration Using Decoupled Data / Hye-Chung Kum, Stanley Ahalt and Darshana Pathak.
Security and Privacy in Social Networks brings to the forefront innovative approaches for analyzing and enhancing the security and privacy dimensions in online social networks, and is the first comprehensive attempt dedicated entirely to this field. In order to facilitate the transition of such methods from theory to mechanisms designed and deployed in existing online social networking services, the book aspires to create a common language between the researchers and practitioners of this new area- spanning from the theory of computational social sciences to conventional security and network engineering. (source: Nielsen Book Data)