Advances in artificial intelligence for privacy protection and security / editors, Agusti Solanas, Antoni Martínez-Ballesté

Colaborador(es): Solanas, Agusti [editor literario] | Martínez-Ballesté, Antoni [editor literario]Tipo de material: TextoTextoSeries Intelligent Information Systems ; 1.Detalles de publicación: Hackensack : World Scientific, 2009 Descripción: IX, 391 p. : il. ; 24 cmISBN: 9789812790323Tema(s): Inteligencia artificial | Seguridad informáticaResumen: In this book, we aim to collect the most recent advances in artificial intelligence techniques (i.e. neural networks, fuzzy systems, multi-agent systems, genetic algorithms, image analysis, clustering, etc), which are applied to the protection of privacy and security. The symbiosis between these fields leads to a pool of invigorating ideas, which are explored in this book. On the one hand, individual privacy protection is a hot topic and must be addressed in order to guarantee the proper evolution of a modern society. On the other, security can invade individual privacy, especially after the appearance of new forms of terrorism. In this book, we analyze these problems from a new point of view.INDICE: A Brief Introduction to Privacy and Security: An Introduction to Privacy Aspects of Information and Communication Technologies (A Martínez-Ballesté & A Solanas); An Overview of Information Security (A Ribagorda Garnacho etal.); Privacy Protection by Means of Artificial Intelligence: Data Mining in Large Databases estrategies for Managing the Trade-Off Between Societal Benefit and Individual Privacy (M Schmid); Desemantization for Numerical Microdata Anonymization (J Pont-Tuset et al.); Multi-Objective Evolutionary Optimizationin Statistical Disclosure Control (R Dewri et al.); On the Definition of Cluster-Specific Information Loss Measures (V Torra); Privacy Preserving and Use of Medical Information in a Multiagent System (K Gibert et al.); Security by Means of Artificial Intelligence: Perimeter Security on Noise-Robust Vehicle Detection Using Nonlinear Hebbian Learning (B Lu et al.); Texture-Based Approach for Computer Vision Systems in Autonomous Vehicles (D Puig et al.); An Aggression Detection System for the Train Compartment (Z Yang et al.); K-Means Clustering for Content-Based Document Management in Intelligence (S Decherchi et al.); Genetic Algorithms for Designing Network Security Protocols (L Zarza et al.); Evolving Strategy-Based Cooperation in Wireless Mobile Ad Hoc Networks (M Seredynski et al.).
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In this book, we aim to collect the most recent advances in artificial intelligence techniques (i.e. neural networks, fuzzy systems, multi-agent systems, genetic algorithms, image analysis, clustering, etc), which are applied to the protection of privacy and security. The symbiosis between these fields leads to a pool of invigorating ideas, which are explored in this book. On the one hand, individual privacy protection is a hot topic and must be addressed in order to guarantee the proper evolution of a modern society. On the other, security can invade individual privacy, especially after the appearance of new forms of terrorism. In this book, we analyze these problems from a new point of view.INDICE: A Brief Introduction to Privacy and Security: An Introduction to Privacy Aspects of Information and Communication Technologies (A Martínez-Ballesté & A Solanas); An Overview of Information Security (A Ribagorda Garnacho etal.); Privacy Protection by Means of Artificial Intelligence: Data Mining in Large Databases estrategies for Managing the Trade-Off Between Societal Benefit and Individual Privacy (M Schmid); Desemantization for Numerical Microdata Anonymization (J Pont-Tuset et al.); Multi-Objective Evolutionary Optimizationin Statistical Disclosure Control (R Dewri et al.); On the Definition of Cluster-Specific Information Loss Measures (V Torra); Privacy Preserving and Use of Medical Information in a Multiagent System (K Gibert et al.); Security by Means of Artificial Intelligence: Perimeter Security on Noise-Robust Vehicle Detection Using Nonlinear Hebbian Learning (B Lu et al.); Texture-Based Approach for Computer Vision Systems in Autonomous Vehicles (D Puig et al.); An Aggression Detection System for the Train Compartment (Z Yang et al.); K-Means Clustering for Content-Based Document Management in Intelligence (S Decherchi et al.); Genetic Algorithms for Designing Network Security Protocols (L Zarza et al.); Evolving Strategy-Based Cooperation in Wireless Mobile Ad Hoc Networks (M Seredynski et al.).

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