Analysis of Coordinated Denial-of-Service Attacks in IEEE 802.22 Networks

Tan, Yi Fei; Sengupta, Shamik; Subbalakshmi, K. P.

doi:10.1109/jsac.2011.110419

Cited by 29 publications

(2 citation statements)

References 25 publications

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“…Our work differs from ( [17]) in a way such that the malicious nodes start their attack from the Most Active Band (MAB) rather than simple busy band.…”

Section: Introductionmentioning

confidence: 99%

Co-Ordinated most Active Band (MAB) Attack: For Optimum Payoff in Cognitive Radio Networks

Sabitha¹,

Kumar²,

Reegan³

et al. 2014

AMM

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The unused or under-utilized TV bands are opportunistically utilized by Cognitive Radio enabled IEEE 802.22 Wireless Regional Area Networks (WRAN). However due to the nature of cognitive radio networks and lack of proactive security protocols, these networks are vulnerable to various Denial of Service (DoS) threats. In this paper the target band chosen for attack is a specific band called as Most Active Band (MAB) which has most signal activities among the available bands. Co-ordination among the malicious nodes in MAB is analyzed to produce maximum net outcome. Simulation results are provided to demonstrate the effectiveness of the proposed co-ordinated MAB attack.

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“…Our work differs from ( [17]) in a way such that the malicious nodes start their attack from the Most Active Band (MAB) rather than simple busy band.…”

Section: Introductionmentioning

confidence: 99%

Co-Ordinated most Active Band (MAB) Attack: For Optimum Payoff in Cognitive Radio Networks

Sabitha¹,

Kumar²,

Reegan³

et al. 2014

AMM

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“…The malicious central agency returns to the malicious nodes a consolidated image of the secondary networks' spectrum occupancy. If the malicious nodes want to turn, they can explore other unknown spectrum bands in order to maximize the attack gain [158]. Further investigation is required to secure Fog computing environments from DoS attacks.…”

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confidence: 99%

Towards Secure Fog Computing: A Survey on Trust Management, Privacy, Authentication, Threats and Access Control

et al. 2021

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Fog computing is an emerging computing paradigm that has come into consideration for the deployment of Internet of Things (IoT) applications amongst researchers and technology industries over the last few years. Fog is highly distributed and consists of a wide number of autonomous end devices, which contribute to the processing. However, the variety of devices offered across different users are not audited. Hence, the security of Fog devices is a major concern that should come into consideration. Therefore, to provide the necessary security for Fog devices, there is a need to understand what the security concerns are with regards to Fog. All aspects of Fog security, which have not been covered by other literature works, need to be identified and aggregated. On the other hand, privacy preservation for user’s data in Fog devices and application data processed in Fog devices is another concern. To provide the appropriate level of trust and privacy, there is a need to focus on authentication, threats and access control mechanisms as well as privacy protection techniques in Fog computing. In this paper, a survey along with a taxonomy is proposed, which presents an overview of existing security concerns in the context of the Fog computing paradigm. Moreover, the Blockchain-based solutions towards a secure Fog computing environment is presented and various research challenges and directions for future research are discussed.

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Combating channel eviction triggering denial‐of‐service attacks in cognitive radio networks

Sodagari

Attar

Leung

et al. 2012

Trans. Emerging Tel. Tech.

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We focus on a specific class of denial‐of‐service (DoS) attacks that is executed through Channel Eviction Triggering (CET), whereby adversary nodes unduly invoke mechanisms inherent in a cognitive radio (CR) network (CRN) operation to protect the licensed users and thus disrupt secondary access to the otherwise idle licensed bands. Skewing the spectrum sensing decision of CRN through sensing misreports is a manifestation of CET attacks. Whereas most studies in the literature focus on making the cooperative sensing more robust against such sensing misreports, we tackle the problem from the novel perspective of incentive alleviation. We distinguish two classes of such DoS attacks, which we refer to as CET and CET‐jamming attacks. In the former case, the incentive of adversary CRs is to remove the competition of truthful CRs in accessing the licensed spectral ranges. The latter class of DoS attack deals with scenarios in which the adversary nodes are mainly interested in denying the chances of communication of CRN over primary bands and as such their incentive cannot be modelled by the same utility maximisation model as truthful CRs. We propose a solution for each class of attacks, and our numerical results verify the effectiveness of the proposed CET defence scheme in both cases. Copyright © 2012 John Wiley & Sons, Ltd.

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Analysis of Coordinated Denial-of-Service Attacks in IEEE 802.22 Networks

Cited by 29 publications

References 25 publications

Co-Ordinated most Active Band (MAB) Attack: For Optimum Payoff in Cognitive Radio Networks

Co-Ordinated most Active Band (MAB) Attack: For Optimum Payoff in Cognitive Radio Networks

Towards Secure Fog Computing: A Survey on Trust Management, Privacy, Authentication, Threats and Access Control

Combating channel eviction triggering denial‐of‐service attacks in cognitive radio networks

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