Performance analysis of probabilistic soft SSDF attack in cooperative spectrum sensing

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• 作者：Linyuan Zhang (1)
  Qihui Wu (1)
  Guoru Ding (1)
  Shuo Feng (1)
  Jinlong Wang (1)
  
  1. College of Communications Engineering ; PLA University of Science and Technology ; Yudao Road ; Nanjing ; 210007 ; China
  
• 关键词：Cognitive radio ; Spectrum sensing data falsification attack ; Destructiveness ; Stealthiness
• 刊名：EURASIP Journal on Advances in Signal Processing
• 出版年：2014
• 出版时间：December 2014
• 年：2014
• 卷：2014
• 期：1
• 全文大小：823 KB
• 参考文献：1. Mitola, J (2000) Cognitive radio: an integrated agent architecture for software defined radio. Ph.D. Dissertation, KTH.
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• 刊物主题：Signal, Image and Speech Processing;
• 出版者：Springer International Publishing
• ISSN：1687-6180

文摘

In cognitive radio networks, spectrum sensing data falsification (SSDF) attack is a crucial factor deteriorating the detection performance of cooperative spectrum sensing. In this paper, we propose and analyze a novel probabilistic soft SSDF attack model, which goes beyond the existing models for its generalization. Under this generalized SSDF attack model, we firstly obtain closed form expressions of global sensing performance at the fusion center. Then, we theoretically evaluate the performance of the proposed attack model, in terms of destructiveness and stealthiness, sequentially. Numerical simulations match the analytical results well. Last but not least, an interesting trade-off between destructiveness and stealthiness is discovered, which is a fundamental issue involved in SSDF attack, however, ignored by most of the previous studies.