Beta Distribution Function for Cooperative Spectrum Sensing Against
Byzantine Attack in Cognitive Wireless Sensor Networks
- Jun Wu
, - Tianle Liu,
- Rui Zhao,
- Weiwei Cao
Tianle Liu
Hangzhou Dianzi University School of Communication Engineering
Author ProfileRui Zhao
Hangzhou Dianzi University School of Communication Engineering
Author ProfileAbstract
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In order to explore more spectrum resources to support sensors
and its related applications, cognitive wireless sensor networks (CWSNs)
have emerged to identify available channels being underutilized by the
primary user (PUs). To improve the detection accuracy of the PU signal,
cooperative spectrum sensing (CSS) among sensors paradigm is proposed to
make a global decision about the PU status for CWSNs. However, CSS is
susceptible to Byzantine attack from malicious sensor nodes due to its
open nature, resulting in wastage of spectrum resources or causing
harmful interference to PUs. To suppress the negative impact of
Byzantine attack, this paper proposes a beta distribution function (BDF)
for CSS among multiple sensors, which includes a sequential process,
beta reputation model, and weight evaluation. Based on sequential
probability ratio test (SPRT), we integrate the proposed beta reputation
model into SPRT, while improving and reducing the positive and negative
impacts of reliable and unreliable sensor nodes on the global decision,
respectively. Finally, the numerical simulation results demonstrate that
compared to SPRT and weighted sequential probability ratio test (WSPRT),
the proposed BDF has outstanding effects in terms of the error
probability, and average number of samples under various attack ratios
and probabilities.