Abstract
In this paper, we consider reliable cooperative spectrum sensing in cognitive networks under the Spectrum Sensing Data Falsification (SSDF) attacks. One effective method to mitigate the SSDF attacks is the q-out-of-m fusion scheme, where the final decision is based on q sensing reports from m polled users. In this paper, first, we derive the asymptotic behavior of the fusion scheme as the network size increases. It is found that the false alarm rate decreases exponentially as the network size increases, even if the percentage of malicious users remains fixed. Second, we propose an iterative approach to obtain the best scheme parameters that minimizes the false alarm rate and enforces the miss detection constraint. Third, we discuss different attack scenarios and propose a malicious user detection method to further improve the performance. It is shown that by exploiting the malicious user detection scheme, the system performance is improved significantly under various attacks.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Commission, F.C.: Spectrum policy task force. Technical Report 02 - 155 (November 2002)
Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications 23(2), 201–220 (2005)
Cabric, D., Mishra, S., Brodersen, R.: Implementation issues in spectrum sensing for cognitive radios. In: Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 772–776 (November 2004)
Chen, R., Park, J.M., Hou, Y., Reed, J.: Toward secure distributed spectrum sensing in cognitive radio networks. IEEE Communications Magazine 46(4), 50–55 (2008)
Hu, F., Wang, S., Cheng, Z.: Secure cooperative spectrum sensing for cognitive radio networks. In: IEEE Military Communications Conference, pp. 1 –7 (October 2009)
Zhao, T., Zhao, Y.: A new cooperative detection technique with malicious user suppression. In: IEEE International Conference on Communications, pp. 1–5 (June 2009)
Kaligineedi, P., Khabbazian, M., Bhargava, V.: Secure cooperative sensing techniques for cognitive radio systems. In: IEEE International Conference on Communications, ICC 2008, pp. 3406–3410 (May 2008)
Wang, H., Lightfoot, L., Li, T.: On phy-layer security of cognitive radio: Collaborative sensing under malicious attacks. In: 2010 44th Annual Conference on Information Sciences and Systems (CISS), pp. 1–6 (March 2010)
Abdelhakim, M., Zhang, L., Ren, J., Li, T.: Cooperative sensing in cognitive networks under malicious attack. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 3004 –3007 (May 2011)
Mitzenmacher, M., Upfal, E.: Probability and computing randomized algorithms and probabilistic analysis. Cambridge Univ. Press (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Abdelhakim, M., Ren, J., Li, T. (2012). Reliable Cooperative Sensing in Cognitive Networks. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-31869-6_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31868-9
Online ISBN: 978-3-642-31869-6
eBook Packages: Computer ScienceComputer Science (R0)