Packet Classification Method for Preventing Selective Jamming Attacks - J., Lekha;P., RajKumar
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In this book, we address the problem of selective jamming attacks in wireless networks. In these attacks, the adversary is active only for a short period of time, selectively targeting messages of high importance. This work illustrated the advantages of selective jamming in terms of network performance degradation and adversary effort by presenting two case studies; a selective attack on TCP and one on routing. This work proves that selective jamming attacks can be launched by performing real-time packet classification at the physical layer. To mitigate these attacks, we develop three schemes…mehr

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Produktbeschreibung
In this book, we address the problem of selective jamming attacks in wireless networks. In these attacks, the adversary is active only for a short period of time, selectively targeting messages of high importance. This work illustrated the advantages of selective jamming in terms of network performance degradation and adversary effort by presenting two case studies; a selective attack on TCP and one on routing. This work proves that selective jamming attacks can be launched by performing real-time packet classification at the physical layer. To mitigate these attacks, we develop three schemes that prevent real-time packet classification by combining cryptographic primitives with physical-layer attributes. This work analyzes the security of our methods and evaluate their computational and communication overhead.
Autorenporträt
A Dra. J. Lekha trabalha actualmente como Professora Associada no departamento de Ciência de Dados da Universidade de Cristo. Tem 16 anos de experiência de ensino e 12 anos de experiência de investigação. Concluiu o mestrado, o mestrado e o doutoramento. As suas áreas de investigação incluem a extracção de dados e a segurança de redes. Publicou mais de 30 artigos de investigação.