Proceedings ArticleDOI
Robust Distributed Spectrum Sensing in Cognitive Radio Networks
Ruiliang Chen,Jung-Min Park,Kaigui Bian +2 more
- pp 1876-1884
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TLDR
This work proposes a new data fusion technique that uses a variable number of samples, and introduces a reputation-based mechanism to the Sequential Probability Ratio Test (SPRT), which is evaluated by comparing it with a variety of data fusion techniques under various network operating conditions.Abstract:
Distributed spectrum sensing (DSS) enables a Cognitive Radio (CR) network to reliably detect licensed users and avoid causing interference to licensed communications. The data fusion technique is a key component of DSS. We discuss the Byzantine failure problem in the context of data fusion, which may be caused by either malfunctioning sensing terminals or Spectrum Sensing Data Falsification (SSDF) attacks. In either case, incorrect spectrum sensing data will be reported to a data collector which can lead to the distortion of data fusion outputs. We investigate various data fusion techniques, focusing on their robustness against Byzantine failures. In contrast to existing data fusion techniques that use a fixed number of samples, we propose a new technique that uses a variable number of samples. The proposed technique, which we call Weighted Sequential Probability Ratio Test (WSPRT), introduces a reputation-based mechanism to the Sequential Probability Ratio Test (SPRT). We evaluate WSPRT by comparing it with a variety of data fusion techniques under various network operating conditions. Our simulation results indicate that WSPRT is the most robust against the Byzantine failure problem among the data fusion techniques that were considered.read more
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Posted Content
When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing
TL;DR: This paper revisits this security vulnerability as an adversarial machine learning problem and proposes a novel learning-empowered attack framework named Learning-Evaluation-Beating (LEB) to mislead the fusion center.
Proceedings ArticleDOI
Cooperative Boundary Detection for Spectrum Sensing Using Dedicated Wireless Sensor Networks
TL;DR: It is proved that cooperative spectrum sensing can asymptotically approach the optimal solution in WSSN and can reduce the errors by up to 95% with an average reduction about 85%.
Proceedings ArticleDOI
Defending against Hit-and-Run Attackers in Collaborative Spectrum Sensing of Cognitive Radio Networks: A Point System
Evan Noon,Husheng Li +1 more
TL;DR: A hit-and-run attack policy is proposed in this paper, which cannot be be mitigated by traditional approaches of attacker detection in cognitive radio systems, and a point based attacker detection algorithm is proposed.
Spectrum sensing for cognitive radios: Algorithms, performance, and limitations
TL;DR: Main aim in studying the effects of quantization and channel errors on the cooperative sensing is to provide a framework for the designers to choose the operating values of the number of quantized bits and the target bit error probability for the reporting channel such that the performance loss caused by these non-idealities is negligible.
Journal ArticleDOI
Optimal Sensing Disruption for a Cognitive Radio Adversary
TL;DR: It is shown that, for aCR network where energy detection is utilized by secondary users, the optimal sensing disruption strategy for noise spoofing for a CR adversary is equal-power partial-band spoofing.
References
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Book
Wireless Communications: Principles and Practice
TL;DR: WireWireless Communications: Principles and Practice, Second Edition is the definitive modern text for wireless communications technology and system design as discussed by the authors, which covers the fundamental issues impacting all wireless networks and reviews virtually every important new wireless standard and technological development, offering especially comprehensive coverage of the 3G systems and wireless local area networks (WLANs).
Journal ArticleDOI
Cognitive radio: brain-empowered wireless communications
TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Cognitive Radio An Integrated Agent Architecture for Software Defined Radio
TL;DR: This article briefly reviews the basic concepts about cognitive radio CR, and the need for software-defined radios is underlined and the most important notions used for such.
Proceedings ArticleDOI
Implementation issues in spectrum sensing for cognitive radios
TL;DR: To improve radio sensitivity of the sensing function through processing gain, three digital signal processing techniques are investigated: matched filtering, energy detection and cyclostationary feature detection.
Proceedings ArticleDOI
Collaborative spectrum sensing for opportunistic access in fading environments
Amir Ghasemi,Elvino S. Sousa +1 more
TL;DR: This paper studies spectrum-sharing between a primary licensee and a group of secondary users and suggests that collaboration may improve sensing performance significantly.