A Byzantine Attack Defender in Cognitive Radio Networks: The Conditional Frequency Check

He, Xiaofan; Dai, Huaiyu; Ning, Peng

doi:10.1109/twc.2013.031313.121551

Cited by 56 publications

(25 citation statements)

References 32 publications

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“…The scenario in which MUs send "1" to FC is called "Always Busy (AB)" and the scenario in which MUs send "0" to FC is "Always Free (AF)". The two kinds of MUs are special issues of Byzantine attackers (He, Dai, & Ning, 2013). The more AB users exist in CRN, the more possibly the global test statistics exceed the test threshold.…”

Section: Cooperative Spectrum Sensing Based On the Reputationmentioning

confidence: 99%

Improved cooperative spectrum sensing based on the reputation in cognitive radio networks

Wei

2014

International Journal of Electronics

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Cognitive radio (CR) is a promising technology to improve the utilisation of wireless spectrum resources. Spectrum sensing is the core functionality in CR networks (CRN). When there exist malicious users (MUs) in CRN and MUs start to attack the network after accumulating reputation to some extent, the performance is deteriorated. In this paper, a scheme is proposed by employing Orthogonalized Gnanadesikan-Kettenring (OGK) to mitigate the effect of MUs without the assistance of trusted nodes, and it can improve the robustness of CRN. Simulations verify the effectiveness of the proposed scheme.

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Section: Cooperative Spectrum Sensing Based On the Reputationmentioning

confidence: 99%

Improved cooperative spectrum sensing based on the reputation in cognitive radio networks

Wei

2014

International Journal of Electronics

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“…Chiang et al [7] introduce a codetree system for circumventing cross-layer jamming attacks in wireless broadcast networks. Hidden Markov Models (HMMs) are adopted in [8] to characterize the sensing behaviors of legitimate and malicious users in collaborative spectrum sensing settings.…”

Section: Introductionmentioning

confidence: 99%

LTE PHY layer vulnerability analysis and testing using open-source SDR tools

Rao

Marojevic

et al. 2017

MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM)

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This paper provides a methodology to study the PHY layer vulnerability of wireless protocols in hostile radio environments. Our approach is based on testing the vulnerabilities of a system by analyzing the individual subsystems. By targeting an individual subsystem or a combination of subsystems at a time, we can infer the weakest part and revise it to improve the overall system performance. We apply our methodology to 4G LTE downlink by considering each control channel as a subsystem.We also develop open-source software enabling research and education using software-defined radios. We present experimental results with open-source LTE systems and shows how the different subsystems behave under targeted interference. The analysis for the LTE downlink shows that the synchronization signals (PSS/SSS) are very resilient to interference, whereas the downlink pilots or Cell-Specific Reference signals (CRS) are the most susceptible to a synchronized protocol-aware interferer. We also analyze the severity of control channel attacks for different LTE configurations. Our methodology and tools allow rapid evaluation of the PHY layer reliability in harsh signaling environments, which is an asset to improve current standards and develop new and robust wireless protocols.

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“…Furthermore, the sensor nodes are supplied by battery, which is actually limited. Because it is difficult or even impossible to charge or change thousands of sensor nodes, while these nodes are required to work for a few months or even years, reducing the energy consumption is one of the key problems for WSNs [3].…”

Section: Introductionmentioning

confidence: 99%

Energy‐aware cooperative and distributed channel estimation schemes for wireless sensor networks

Ning

Song

Yao

et al. 2015

Int J Communication

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SUMMARYIt is a fact that energy consumption is a key issue in wireless sensor networks. In order to improve the energy efficiency of network utilization, distributed power control methods are advocated. However, the sensors are deployed randomly, which results in the channel gains that are difficult to be obtained; thus, how to estimate channel gains accurately to increase node communication efficiency and reduce energy consumption is the motivation of our work. In this paper, a cooperative and distributed algorithm based on diffusion least mean square (LMS) is firstly proposed to estimate channel gain by utilizing the equality and collaboration of sensor nodes. Its objective is to enhance the accuracy and convergence of the estimation process. Because the presented globe-based scheme is unrealistic for practical utilization, two distributed estimation algorithms are investigated for different network scenarios, namely, exchange diffusion combine LMS and exchange combine diffusion LMS. Simulation results demonstrate the effectiveness of our methods.

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A Byzantine Attack Defender in Cognitive Radio Networks: The Conditional Frequency Check

Cited by 56 publications

References 32 publications

Improved cooperative spectrum sensing based on the reputation in cognitive radio networks

Improved cooperative spectrum sensing based on the reputation in cognitive radio networks

LTE PHY layer vulnerability analysis and testing using open-source SDR tools

Energy‐aware cooperative and distributed channel estimation schemes for wireless sensor networks

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