Mitigating spectrum sensing data falsification attacks in hard-decision combining cooperative spectrum sensing
نویسندگان
چکیده
منابع مشابه
An Effective and Optimal Fusion Rule in the Presence of Probabilistic Spectrum Sensing Data Falsification Attack
Cognitive radio (CR) network is an excellent solution to the spectrum scarcity problem. Cooperative spectrum sensing (CSS) has been widely used to precisely detect of primary user (PU) signals. The trustworthiness of the CSS is vulnerable to spectrum sensing data falsification (SSDF) attack. In an SSDF attack, some malicious users intentionally report wrong sensing results to cheat the fusion c...
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Abstract—Cooperative spectrum sensing using energy detection is the efficient method of detecting the spectrum holes in a particular band of interest or channel by combining the information gathered by multiple CR users. In this paper, we study the hard decision fusion scheme using Logical ̳AND‘ and the Logical ̳OR‘ rule and a brief introduction of Soft and Quantized fusion scheme. Simulation com...
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Cognitive Radio (CR) networks enable dynamic spectrum access and can significantly improve spectral efficiency. Cooperative Spectrum Sensing (CSS) exploits the spatial diversity between CR users to increase sensing accuracy. However, in a realistic scenario, the trustworthy of CSS is vulnerable to Spectrum Sensing Data Falsification (SSDF) attack. In an SSDF attack, some malicious CR users deli...
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Providing some techniques to enhance the performance of spectrum sensing in cognitive radio systems while accounting for the cost and bandwidth limitations in practical scenarios is the main objective of this thesis. We focus on an essential element of cooperative spectrum sensing (CSS) which is the data fusion that combines the sensing results to make the final decision. Exploiting the advanta...
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ژورنال
عنوان ژورنال: Science China Information Sciences
سال: 2013
ISSN: 1674-733X,1869-1919
DOI: 10.1007/s11432-013-4847-0