Defense Against Primary User Emulation Attacks in Cognitive Radio Networks Using Advanced Encryption Standard

Alahmadi, Ahmed; Abdelhakim, Mai; Ren, Jian; Li, Tongtong

doi:10.1109/tifs.2014.2310355

Cited by 83 publications

(38 citation statements)

References 25 publications

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“…Of the various existing security threats, SSDF and PUEA are very common and draw much attention to the research community. Efforts have been made to detect and defend against these attacks …”

Section: Related Work On Security In Cssmentioning

confidence: 99%

Joint cooperative spectrum sensing and primary user emulation attack detection in cognitive radio networks using fuzzy conditional entropy maximization

Banerjee

Maity

2019

Trans Emerging Tel Tech

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Cooperative spectrum sensing (CSS) in cognitive radio system shows improved performance on spectrum sensing but, at the same time, faces a common threat called primary user emulation attack (PUEA) that impersonates the primary user (PU). This work explores joint PU and PUEA detection on CSS as a multiclass hypothesis using fuzzy conditional entropy maximization. To meet the goal, a multithreshold approach is suggested using a constrained differential evolution algorithm search to determine an optimal set of fuzzy function parameters, which maximizes the conditional entropy on the energy values. The proposed work also investigates the performance of CSS in presence of a group of malicious users (as PUEA), which generates signals and directly sends the same to the fusion center. Numerical results through simulation illustrate the efficacy of the proposed scheme in terms of both reliable PU detection in presence or absence of PUEA/malicious user and separate detection of falsifying PU and energy consumption in CSS. Simulation results show that the proposed scheme offers ∼17.54% and ∼39.39% higher detection probability of PU over the existing works in presence of PUEA.

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Section: Related Work On Security In Cssmentioning

confidence: 99%

Joint cooperative spectrum sensing and primary user emulation attack detection in cognitive radio networks using fuzzy conditional entropy maximization

Banerjee

Maity

2019

Trans Emerging Tel Tech

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“…[36][37][38] We used binary data in our input data set in order to simulate private information of the financial customers. Advanced Encryption Standard (AES) was selected to be the comparing objective because of its broad acceptance and applications.…”

Section: Experimental Configurationmentioning

confidence: 99%

Privacy‐preserving smart data storage for financial industry in cloud computing

Qiu

Gai

Zhao

et al. 2017

Concurrency and Computation

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The recent booming development of cloud computing has enabled a dramatical revolution for current enterprises to create values. Numerous benefits of utilizing cloud services are enhancing the efficiency of improving or creating new businesses. This trend is also associated with the rapid growth of the wireless networks, such as 5G. However, the great increase of deploying clouds also leads to new concerns in data security. One of the major concerns is private leakage that derives from insiders' malicious operations or attacks. This problem has raised a great restriction for financial firms to execute cloud applications. Focusing on this issue, we propose a new solution, entitled Privacy-Preserving Smart Storage (PS2) model that targets at solving the privacy leakage problems within the existing threat models. The proposed approach uses a novel distributed data storage method to prevent financial enterprises from insiders' massive data mining-based attacks.

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“…The proposed scheme is transparent to the primary receivers but inevitably requires some level of modification to the primary transmitters. The PU emulation attack defense solution that Alahmadi et al [60] propose targets digital television networks and also requires modifying the primary transmitters, such that they generate reference signals encrypted through the Advanced Encryption Standard (AES) algorithm.…”

Section: Cryptographic Approachesmentioning

confidence: 99%

A survey on security attacks and countermeasures with primary user detection in cognitive radio networks

Marinho

Granjal

Monteiro

2015

EURASIP J. on Info. Security

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Currently, there are several ongoing efforts for the definition of new regulation policies, paradigms, and technologies aiming a more efficient usage of the radio spectrum. In this context, cognitive radio (CR) emerges as one of the most promising players by enabling the dynamic access to vacant frequency bands on a non-interference basis. However, the intrinsic characteristic of CR opens new ways for attackers, namely in the context of the effective detection of incumbent or primary users (PUs), the most fundamental and challenging requirement for the successful operation of CR networks. In this article, we provide a global and integrated vision of the main threats affecting CR environments in the context of the detection of primary users, with a particular focus on spectrum sensing data falsification and primary user emulation attacks. We also address solutions and research challenges still required to address such threats. Our discussion aims at being complete and self-contained, while also targeting readers with no specific background on this important topic of CR environments. It is, as far as our knowledge goes, the first work providing a global and clear vision of security threats and countermeasures in the context of primary user detection in CR.

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Defense Against Primary User Emulation Attacks in Cognitive Radio Networks Using Advanced Encryption Standard

Cited by 83 publications

References 25 publications

Joint cooperative spectrum sensing and primary user emulation attack detection in cognitive radio networks using fuzzy conditional entropy maximization

Joint cooperative spectrum sensing and primary user emulation attack detection in cognitive radio networks using fuzzy conditional entropy maximization

Privacy‐preserving smart data storage for financial industry in cloud computing

A survey on security attacks and countermeasures with primary user detection in cognitive radio networks

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