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  • 标题:A Swarm Intelligence Algorithm to Prevent Selective Jamming Attacks in Wireless Network
  • 本地全文:下载
  • 作者:Gomathi S ; Aravindhan K
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2013
  • 卷号:4
  • 期号:1
  • 页码:312-315
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Open nature of the wireless medium leaves it vulnerable to intentional interference attacks, typically referred to as jamming. When intentional interference combined with wireless transmission it can be used as a launch pad for mounting denial-of-Service attacks on wireless networks. 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. Adversary active only for a short period of time selectively target messages of high importance. Selective jamming attacks can be launched by performing real-time packet classification at the physical layer. The jammer may decode the first few bits of a packet for recovering useful packet identifiers such as packet type, source and destination address. These attacks can be prevented by three schemes: commitment, cryptographic puzzle and AONTS. The combination of cryptographic primitives with physical layer attributes is used for preventing real-time packet classification and a swarm intelligence algorithm is used for preventing jamming attacks in wireless networks. Swarm intelligence algorithm is proficient enough to adapt changes in network topology and traffic. The sender and receiver change the channels in order to stay away from the jammer, in channel hoping technique.
  • 关键词:Selective Jamming;Denial-of-Service;Wireless Networks;Packet Classification;Swarm Intelligence;Channel Hopping
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