Secure Distance Based Improved Leach Routing to Prevent Puea in Cognitive Radio Network

Vivekanand, Chettiyar Vani; Bagan, K. Bhoopathy

doi:10.1007/s11277-020-07294-2

Cited by 16 publications

(9 citation statements)

References 22 publications

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“…The routing of the cognitive radio system contains many limitations in misbehaving actions and securing routing messages and requests. Vivekanand and Bagan [23] have developed an enhanced LEACH protocol for obtaining distance and preventing attacks. The Cognitive radio system contained nodes clustered through enhanced LEACH.…”

Section: Related Workmentioning

confidence: 99%

“…There are many techniques introduced to overcome these issues. The existing techniques [17], like the energy-efficient routing procedure [21], the clustering method [22], the routing protocol [23], and the LEACH protocol [24], still have the issues of scalability, network lifetime, and energy consumption [18,19]. The problem in the previous study is lacking monitoring mechanisms.…”

Section: Introductionmentioning

confidence: 99%

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Incorporating Metaheuristic Optimization Algorithm ABO for Improvement of LEACH Protocol in Wireless Sensor Networks

Malik

Josh

Sakya³

2023

Preprint

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The principal application of Wireless Sensor Network (WSN) is to perform sensing and tracking in the scenarios where continuous monitoring is required. At the same time tiny sensor node consumes energy in performing these tasks resulting in reduced performance of WSN due to signal loss and packet transmission. Many techniques were developed to overcome the issues of high energy consumption nodes but still have a problem identifying cluster heads since packet loss and signal transmission occurs during transmission. . This paper integrates a metaheuristic optimization algorithm to improve the performance of WSN. The metaheuristic African Buffalo-based Energy Optimized LEACH Protocol (MABEOLP) is designed to enhance communication performance in WSN. The proposed scheme recognize the less energy and high energy consumption nodes at an earlier stage of the energy-aware phase and the high energy consumption nodes are neglected .At the same time a temporary route is developed to avoid sudden signal failure and packet drop. The optimized model is implemented in Matlab ,it is tested for maximum of 125 nodes and later the performance parameters energy consumption, delay, throughput, packet transmission rate, and packet loss are compare with the existing methods.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Incorporating Metaheuristic Optimization Algorithm ABO for Improvement of LEACH Protocol in Wireless Sensor Networks

Malik

Josh

Sakya³

2023

Preprint

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“…To detect the Primary User Emulation Attacks in Cognitive Radio networks in paper [16], two hypothesis testing mechanisms namely Neyman-Pearson composite hypothesis test (NPCHT) and a Wald's sequential probability ratio test (WSPRT) was presented by the author. From the research, it was found that WSPRT showed a 50& reduction in successful PUEA than NPCHT.…”

Section: Related Workmentioning

confidence: 99%

Honesty Factor (HF) based Security Breach Management Technique in Cognitive Radio Network

Varatharajan

Bhuvaneshwari

2022

Preprint

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Cognitive Radio Networks (CRN) is a self-organizing network that does spectrum sensing and allocation on its own. There were many researches done based on security and the ways to enhance the security. But there must be a security management scheme, to prevent malicious users’ presence in the future. To address this challenge this paper has implemented a novel detection and management scheme that performs both detection and management techniques. Every group in the network has a group head, which contacts the global fusion centre for accessing details about the secondary user. The sub-group head willing to allocate unused primary user (PU) space or to give access when the PU is absent will send a request to all subgroups along with the particular secondary user (SU) id to access the behavioural characteristics. The behavioural characteristics are analysed using Crack the Puzzle (CP) methodology. A new user can enter the cluster only if it was able to break the puzzle. If the node cracks the puzzle, the group head updates the Honesty Factor (HF) to 1. If not, the HF is set to zero and the node is disconnected from the cluster. Therefore, the requesting cluster head allows PU and SU pairing based on the HF factor. It is found from the experimental results that the proposed methodology efficiently manages the security issues, allowing only a valid SU to enter the network.

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“…With the improper spectrum sensing results, the spectrum utilization will be degraded. The most common attacks in CR-IoV are Spectrum Sensing Data Falsification (SSDF) attacks and Primary User Emulation (PUE) attacks [13,14]. In the SSDF attack, the attacker attempts to send false sensing reports on the PU absence to the fusion center (FC) or cognitive base station (CBS) [15].…”

Section: Introductionmentioning

confidence: 99%

Defense against SSDF Attack and PUE Attack in CR-Internet of Vehicles (IoVs) for Millimeter Wave Massive MIMO Beamforming Systems

Pari

Jaisankar

2022

Symmetry

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The Internet of Vehicles (IoV) is witnessed to play the leading role in the future of Intelligent Transportation Systems (ITS). Though many works have focused on IoV improvement, there is still a lack of performance due to insufficient spectrum availability, lower data rates, and the involvement of attackers. This paper considers all three issues by developing a novel mmWave-assisted Cognitive Radio based IoV (CR-IoV) model. The integration of CR in IoV resolves the issue of spectrum management, while mmWave technology ensures symmetry in acquiring higher data rates for Secondary Users (SUs). With the proposed mmWave-assisted CR-IoV model, symmetric improvements in network performance were achieved in three main areas: security, beamforming, and routing. Optimum detection mechanisms isolate malicious Secondary Users (SUs) in the overall network. First, Spectrum Sensing Data Falsification (SSDF) attack is detected by a Hybrid Kernel-based Support Vector Machine (HK-SVM), which is the lightweight Machine Learning (ML) technique. Then, the Primary User Emulation (PUE) attack is detected by a hybrid approach, namely the Fang Algorithm-based Time Difference of Arrival (FA-TDoA) method. Further, security is assured by validating the legitimacy of each SU through a Lightweight ID-based Certificate Validation mechanism. To accomplish this, we employed the Four Q-curve asymmetric cryptographic algorithm. Overall, the proposed dual-step security provisioning approach assures that the network is free from attackers. Next, beamforming is performed for legitimate SUs by a 3D-Beamforming algorithm that relies on Array Factor (AF) and Beampattern Function. Finally, routing is enabled by formulating Forwarding Zone (FZ) based on the forwarding angle. In the forwarding zone, optimal forwarders are selected by the Multi-Objective Whale Optimization (MOWO) algorithm. Here, a new potential score is formulated for fitness evaluation. Finally, the proposed mmWave-assisted CR-IoV model is validated through extensive simulations in the ns-3.26 simulation tool. The evaluation shows better performance in terms of throughput, packet delivery ratio, delay, bit error rate, and detection accuracy.

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Secure Distance Based Improved Leach Routing to Prevent Puea in Cognitive Radio Network

Cited by 16 publications

References 22 publications

Incorporating Metaheuristic Optimization Algorithm ABO for Improvement of LEACH Protocol in Wireless Sensor Networks

Incorporating Metaheuristic Optimization Algorithm ABO for Improvement of LEACH Protocol in Wireless Sensor Networks

Honesty Factor (HF) based Security Breach Management Technique in Cognitive Radio Network

Defense against SSDF Attack and PUE Attack in CR-Internet of Vehicles (IoVs) for Millimeter Wave Massive MIMO Beamforming Systems

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