A New Cooperative Detection Technique with Malicious User Suppression

Zhao, Tingting; Zhao, Yuping

doi:10.1109/icc.2009.5198638

Cited by 45 publications

(42 citation statements)

References 9 publications

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“…It bases its functionality on the generation and transmission of specific keys to each node. As a third example of safety sensing investigation, the research [15] proposes a collaborative algorithm based on energy detection and weighted combining (similar to a reputation system) to prevent malicious users.…”

Section: Related Workmentioning

confidence: 99%

Security in cognitive wireless sensor networks. Challenges and open problems

Araújo

Blesa

Romero

et al. 2012

J Wireless Com Network

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A cognitive wireless sensor network (CWSN) is an emerging technology with great potential to avoid traditional wireless problems such as reliability. One of the major challenges CWSNs face today is security. A CWSN is a special network which has many constraints compared to a traditional wireless network and many different features compared to a traditional wireless sensor network. While security challenges have been widely tackled in traditional networks, this is a novel area in CWSNs. This article discusses a wide variety of attacks on CWSNs, their taxonomy and different security measures available to handle the attacks. Also, future challenges to be faced are proposed.

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Section: Related Workmentioning

confidence: 99%

Security in cognitive wireless sensor networks. Challenges and open problems

Araújo

Blesa

Romero

et al. 2012

J Wireless Com Network

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show abstract

“…When simple attack patterns are adopted by only a few malicious users (MUs) in CRNs, the schemes presented in [5][6][7] can work well enough. The concept of applying the trust and reputation model in CRNs has also attracted interest recently [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…The schemes proposed in [5][6][7] become defective either by the increasing proportion of malicious users or in the face of complex attack strategies. Others in [8][9][10] have no ability to maintain robustness under the presence of a high proportion of MUs, while the rest of the methods, as in [11][12][13], cannot cope with complicated attack patterns.…”

Section: Introductionmentioning

confidence: 99%

“…To address the above issues, various secure CSS schemes have been proposed [5][6][7][8][9][10][11][12][13]. When simple attack patterns are adopted by only a few malicious users (MUs) in CRNs, the schemes presented in [5][6][7] can work well enough.…”

Section: Introductionmentioning

confidence: 99%

“…The concept of applying the trust and reputation model in CRNs has also attracted interest recently [8][9][10][11][12]. A reputation-based secure CSS algorithm with trusted node assistance based on [5][6][7] was proposed in [8], which started with trusted SUs merely to assure the inerrability of global decision making. In [9], a soft reputation-based sensing scheme was presented by modeling the operative mode of PU as a renewal process.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comprehensive Reputation-Based Security Mechanism against Dynamic SSDF Attack in Cognitive Radio Networks

Zhang

2016

Symmetry

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Abstract:Collaborative spectrum sensing (CSS) was envisioned to improve the reliability of spectrum sensing in centralized cognitive radio networks (CRNs). However, secondary users (SUs)' changeable environment and ease of compromise make CSS vulnerable to security threats, which further mislead the global decision making and degrade the overall performance. A popular attack in CSS is the called spectrum sensing data falsification (SSDF) attack. In the SSDF attack, malicious cognitive users (MUs) send false sensing results to the fusion center, which significantly degrades detection accuracy. In this paper, a comprehensive reputation-based security mechanism against dynamic SSDF attack for CRNs is proposed. In the mechanism, the reliability of SUs in collaborative sensing is measured with comprehensive reputation values in accordance with the SUs' current and historical sensing behaviors. Meanwhile a punishment strategy is presented to revise the reputation, in which a reward factor and a penalty factor are introduced to encourage SUs to engage in positive and honest sensing activities. The whole mechanism focuses on ensuring the correctness of the global decision continuously. Specifically, the proposed security scheme can effectively alleviate the effect of users' malicious behaviors on network decision making, which contributes greatly to enhancing the fairness and robustness of CRNs. Considering that the attack strategy adopted by MUs has been gradually transforming from simplicity, fixedness and singleness into complexity, dynamic and crypticity, we introduce two dynamic behavior patterns (true to false and then to true (TFT) and false to true and then to false (FTF)) to further validate the effectiveness of our proposed defense mechanism. Abundant simulation results verify the rationality and validity of our proposed mechanism.

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Energy detection–based spectrum sensing with constraint region in cognitive LTE systems

Wang

Gao

Yang

et al. 2017

Trans Emerging Tel Tech

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Cognitive LTE system, such as LTE-U, has received tremendous interest from almost all research disciplines in wireless communications. In Cognitive LTE systems, spectrum sensing is the key enabling technology to realize dynamic spectrum access. In this paper, an error decision probability is proposed to solve the trade-off problem between detection and false alarm probability with the constraint region requirement. The closed-form expression for the error decision probability, satisfied Signal-to-Noise ratio value, number of samples, and primary users' spectrum utilization ratio are derived for in both fixed and adaptive threshold setting algorithms. By implementing both Welch and wavelet-based energy detectors, the adaptive threshold setting algorithm demonstrates a more reliable and robust sensing result for both primary users and secondary users in comparison with the conventional fixed one. Furthermore, the wavelet denoising method is applied to improve the sensing performance when there are insufficient number of samples.

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A New Cooperative Detection Technique with Malicious User Suppression

Cited by 45 publications

References 9 publications

Security in cognitive wireless sensor networks. Challenges and open problems

Security in cognitive wireless sensor networks. Challenges and open problems

Comprehensive Reputation-Based Security Mechanism against Dynamic SSDF Attack in Cognitive Radio Networks

Energy detection–based spectrum sensing with constraint region in cognitive LTE systems

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