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    ADVANCES IN ARTIFICIAL INTELLIGENCE FOR PRIVACY PROTECTION AND SECURITY

    edited by Agusti Solanas (Rovira i Virgili University, Spain) & Antoni Martínez-Ballesté (Rovira i Virgili University, Spain)

    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.

     
    Contents:
    • 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 et al.)
    • Privacy Protection by Means of Artificial Intelligence:
      • Data Mining in Large Databases — Strategies 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 Optimization in 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.)
     
    Readership: Researchers, academics and graduate students in artificial intelligence, security and privacy.
     


     
    404pp    Pub. date: Aug 2009  
    ISBN:   978-981-279-032-3
    981-279-032-2
       US$88 / £48

     


     

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    Updated on 20 November 2009