Earticle

초록

영어

Secure problem has become a major concern in spectrum sensing. PUE attack is a common attack in spectrum sensing. To defend PUE attack, an anti-PUE attack method in spectrum sensing based on fractal dimension is proposed. It detects PUE attack by identifying the modulation type of the received signal using SVM classifier. Sevcik fractal dimension in frequency domain (SFDF) and Higuchi fractal dimension (HFD) of the received signal are adopted as the characteristics for classification by SVM classifier. So the task of anti-PUE attack can be carried out in spectrum sensing. Besides the parameters for spectrum sensing, i.e. SFDF and HFD, no other parameter is required to be calculated, which will decrease the calculation amount and calculation time. The Numerical results show that, the proposed method can effectively detect the PUE attack. When SNR is larger than 10 dB, its PUE detection probability can reach 1. Even when SNR is low to -10 dB, the PUE detection probability is larger than 0.97.

목차

Abstract
 1. Introduction
 2. System Model
 Double Fractal Dimensions Characteristics Combined with SFDF and HDF
  3.1. SFD
  3.2. SFDF
  3.3. HFD
  3.4. Double Fractal Dimensions Characteristics
 4. Anti-PUE Attack Base on Fractal Dimension in Spectrum Sensing
 5. Numerical Results
 6. Conclusion
 References

키워드

저자

• Xu Jie [ College of Information Technology, Heilongjiang Bayi Agricultural University, Daqing, China ]
• Fu Shuang [ College of Information Technology, Heilongjiang Bayi Agricultural University, Daqing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605