Catching Attacker(s) for Collaborative Spectrum Sensing in Cognitive Radio Systems: An Abnormality Detection Approach

@article{Li2010CatchingAF,
  title={Catching Attacker(s) for Collaborative Spectrum Sensing in Cognitive Radio Systems: An Abnormality Detection Approach},
  author={Husheng Li and Zhu Han},
  journal={2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)},
  year={2010},
  pages={1-12}
}
Collaborative spectrum sensing, which collects local observations or decisions from multiple secondary users to make a decision by a fusion center, is an effective approach to alleviate the unreliability of single-user spectrum sensing. However, it is subject to the attack of malicious secondary user(s), which may send false reports. Therefore, it is necessary to detect potential attacker(s) and make attack-proof decisions for spectrum sensing. Most existing attacker detection schemes are based… CONTINUE READING

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