Cognitive Radio Jamming Attack Detection Using an Autoencoder for CRIoT Network

Nallarasan, V.; Kottursamy, Kottilingam

doi:10.1007/s11277-021-08786-5

Cited by 14 publications

(4 citation statements)

References 27 publications

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“…The services are essential to ensure that networks are able to manage the enormous volume of network optimization data traffic generated by this user activity while preserving service quality and customer satisfaction [13]. It encompasses technology rollout, network transformation, and network optimization to provide an ideal end-user experience and operator profitability [14]. Various algorithms are employed to analyze the network status for greater precision and user satisfaction.…”

Section: Architecture Of Cognitive Radio Networkmentioning

confidence: 99%

Analysis of Secure Cognitive Radio Network with Optimal Resource Management

Kumar,

Sharanya

2023

ijmst

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During the last decade, Cognitive Radio Network (CRN) technology has been a significant advance in addressing the ever-increasing spectrum demand. As the number of licensed and unlicensed users in a network rises to complete a certain activity, the information exchange between various types of traffic becomes more complex and difficult. Congestion in CRN is also caused by the conflict among several users for channel access (PUs and SUs). In a very crowded network, many applications perform badly owing to packet collisions and, as a result, packet loss before significant buffer queue building. This circumstance is aggravated by an increase in network users. Congestion control is a vital and essential aspect of the present research issue in communication networks. Several recent reviews in the literature indicate that the congestion issue in the CRN has not been thoroughly studied. Thus, effective and efficient congestion control strategies are sought to optimize network resource usage and management. To prevent congestion, it is crucial for CRN to do research on the creation of an efficient congestion management system. This will improve the network's resource consumption and performance. "Performance improvement via efficient spectrum management through optimum resource management and congestion control in the CRN by mitigating different threats" is the primary target of this project. This research also focused on enhancing performance by addressing security issues in an IoT-based CRN environment. This study provides a comprehensive review of several similar studies and their limitations, which may be used to formulate a new research target.

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Section: Architecture Of Cognitive Radio Networkmentioning

confidence: 99%

Analysis of Secure Cognitive Radio Network with Optimal Resource Management

Kumar,

Sharanya

2023

ijmst

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“…The path with the highest PoS is selected. After that, the actual PoS of the selected path, say path p, PoS p mem , is found using (15).…”

Section: B Simulation Evaluation 1) Simulation Setupmentioning

confidence: 99%

“…Moreover, CRNs require should be aware about jamming by malicious attackers that interrupt SUs transmission, hence the end-to-end throughput is negatively affected. Thus, different protection protocols were developed to protect the SUs transmission [15], [16]. On the other hand, sometimes the channels are heterogeneous in terms of capacity, interference, harmful environmental noise, etc.…”

Section: Introductionmentioning

confidence: 99%

A Formula for Successful Transmission Probability in Opportunistic Networks Under Memory-Time Correlated Channel Availability

Alnabelsi

2023

IEEE Access

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Dynamic Spectrum Access (DSA) technology in wireless Cognitive Radio Networks (CRNs) provides opportunistic access for unlicensed users, also known as Secondary Users (SUs), which can offer huge bandwidth to enable future wireless communication. Mainly, this technology aims to improve the endto-end throughput by allowing SUs to exploit the licensed channels only when their licensed users, also known as Primary Users (PUs), are not using them. Most existing communication protocols designed for CRNs are based on the assumption that the channel availability time is considered based on a memoryless distribution for PUs arrivals. Unfortunately, this assumption is impractical because the PU channels' activity and availability are memory-time correlated. Worse yet, designing communication protocols for CRNs under this assumption can result in overestimating the Probability of Success (PoS) for SU packet transmissions, resulting in severe degradation in network performance in realistic scenarios. This paper derives a closed-form formula under memory-time correlation for channel availability that quantifies the PoS for SUs' packet transmission in CRNs. This will empower the network designers to get practical expectations about network efficiency rather than the overestimated PoS. Therefore, this work is also useful for emerging wireless networks with multi-hop routing, such as 5G, 6G, vehicular networks, etc., which incorporate DSA techniques. Our numerical and simulation results demonstrate that the PoS is overestimated in most of the literature due to adopting memoryless-based distribution in modeling channels' availability; such overestimation can impact communication protocol decisions, resulting in severe network performance degradation.

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“…Where the jammers aim to indiscriminately advance their Jammer Received Signal Strength (JRSS), and the intruder's target is to decrease the overall privacy rate. In comparison to old strategies, a numerical number of outputs have verified and proven that the implemented game strategies are successful against the attackers with reference to data rate, secrecy rate and latency [1][2][3].…”

Section: Introductionmentioning

confidence: 97%

Jamming Attack Mitigation in CR-IoT Using Game Theory

Venkatachalam¹,

Kottursamy²

2022

RIA

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Jamming attack is Cognitive radio Internet of thing network disables the spectrum sharing and reduces the spectrum utilization .detection and mitigation of such attacks is the main component in realizing cognitive radio-based spectrum sharing in cognitive radio-based internet of thing network this work proposes a game theory-based jamming attack mitigation strategy. The problem of jamming attack mitigation is modeled as a zero-sum game and solved by finding Nash equilibrium. The cognitive node which tries to share the spectrum pays the zero-sum game with the jamming attacker and selects the best strategy of selecting the best frequency without getting into the jamming attack. The result of the proposed mechanism proves that the gaming mechanism can tackle the jamming attack.

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Cognitive Radio Jamming Attack Detection Using an Autoencoder for CRIoT Network

Cited by 14 publications

References 27 publications

Analysis of Secure Cognitive Radio Network with Optimal Resource Management

Analysis of Secure Cognitive Radio Network with Optimal Resource Management

A Formula for Successful Transmission Probability in Opportunistic Networks Under Memory-Time Correlated Channel Availability

Jamming Attack Mitigation in CR-IoT Using Game Theory

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