Sequential cooperative spectrum sensing in the presence of dynamic Byzantine attack for mobile networks

Abstract

Cooperative spectrum sensing (CSS) is envisaged as a powerful approach to improve the utilization of scarce radio spectrum resources, but it is threatened by Byzantine attack. Byzantine attack has been becoming a popular research topic in both academia and industry due to the demanding requirements of security. Extensive research mainly aims at mitigating the negative effect of Byzantine attack on CSS, but with some strong assumptions, such as attackers are in minority or trusted node(s) exist for data fusion, while paying little attention to a mobile scenario. This paper focuses on the issue of designing a general and reliable reference for CSS in a mobile network. Instead of the previously simplified attack, we develop a generic Byzantine attack model from sophisticated behaviors to conduct various attack strategies and derive the condition of which Byzantine attack makes the fusion center (FC) blind. Specifically, we propose a robust sequential CSS (SCSS) against dynamic Byzantine attack. Our proposed method solves the unreliability of the FC by means of delivery-based assessment to check consistency of individual sensing report, and innovatively reuses the sensing information from Byzantines via a novel weight allocation mechanism. Furthermore, trust value (TrV) ranking is exploited to proceed with a sequential test which generates a more accurate decision about the presence of phenomenon with fewer samples. Lastly, we carry out simulations on comparison of existing data fusion technologies and SCSS under dynamic Byzantine attack, and results verify the theoretical analysis and effectiveness of our proposed approach. We also conduct numerical analyses to demonstrate explicit impacts of secondary user (SU) density and mobility on the performance of SCSS.

Optimisation of virtual cooperative spectrum sensing for UAV‐based interweave cognitive radio system

“…Encouraged by the sequential idea, we integrate the sequential detection into the CDF rule to reduce the number of decisions in this section, resulting in the improvement in energy efficiency of VCSS. The main advantage of the sequential detection is that it requires, on an average, fewer decisions to achieve the same detection performance as the fixed number of decisions [30].…”

Throughput and Interference for Cooperative Spectrum Sensing: A Malicious Perspective

“…In order to take the CSS performance into consideration, we further adopt the majority rule at the FC, which is based on the majority of the individual decisions [31]. Depending on the majority rule, then the global false alarm and detection probability can be given by [31][32]…”

Improved likelihood ratio statistic‐based cooperative spectrum sensing for cognitive radio

“…However, the previous studies have considered the attacks restricted only to specific type and not in general. An indepth study of generalizsed Byzantine attacks under dynamic and static CSS scenario is carried out in [20,21]. Moreover, all the above mentioned works have considered the Gaussian noise at the receiver.…”