An efficient secure and energy resilient trust-based system for detection and mitigation of sybil attack detection (SAN)

In the modern digital market flooded by nearly endless cyber-security hazards, sophisticated IDS (intrusion detection systems) can become invaluable in defending against intricate security threats. Sybil-Free Metric-based routing protocol for low power and lossy network (RPL) Trustworthiness Scheme...

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Main Authors: Hussain, Muhammad Zunnurain, Mohd Hanapi, Zurina, Abdullah, Azizol, Hussin, Masnida, Ninggal, Mohd Izuan Hafez
Format: Article
Language:English
Published: PeerJ 2024
Online Access:http://psasir.upm.edu.my/id/eprint/114891/1/114891.pdf
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author Hussain, Muhammad Zunnurain
Mohd Hanapi, Zurina
Abdullah, Azizol
Hussin, Masnida
Ninggal, Mohd Izuan Hafez
author_facet Hussain, Muhammad Zunnurain
Mohd Hanapi, Zurina
Abdullah, Azizol
Hussin, Masnida
Ninggal, Mohd Izuan Hafez
author_sort Hussain, Muhammad Zunnurain
collection UPM
description In the modern digital market flooded by nearly endless cyber-security hazards, sophisticated IDS (intrusion detection systems) can become invaluable in defending against intricate security threats. Sybil-Free Metric-based routing protocol for low power and lossy network (RPL) Trustworthiness Scheme (SF-MRTS) captures the nature of the biggest threat to the routing protocol for low-power and lossy networks under the RPL module, known as the Sybil attack. Sybil attacks build a significant security challenge for RPL networks where an attacker can distort at least two hop paths and disrupt network processes. Using such a new way of calculating node reliability, we introduce a cutting-edge approach, evaluating parameters beyond routing metrics like energy conservation and actuality. SF-MRTS works precisely towards achieving a trusted network by introducing such trust metrics on secure paths. Therefore, this may be considered more likely to withstand the attacks because of these security improvements. The simulation function of SF-MRTS clearly shows its concordance with the security risk management features, which are also necessary for the network’s performance and stability maintenance. These mechanisms are based on the principles of game theory, and they allocate attractions to the nodes that cooperate while imposing penalties on the nodes that do not. This will be the way to avoid damage to the network, and it will lead to collaboration between the nodes. SF-MRTS is a security technology for emerging industrial Internet of Things (IoT) network attacks. It effectively guaranteed reliability and improved the networks’ resilience in different scenarios.
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spelling upm.eprints-1148912025-02-07T03:55:13Z http://psasir.upm.edu.my/id/eprint/114891/ An efficient secure and energy resilient trust-based system for detection and mitigation of sybil attack detection (SAN) Hussain, Muhammad Zunnurain Mohd Hanapi, Zurina Abdullah, Azizol Hussin, Masnida Ninggal, Mohd Izuan Hafez In the modern digital market flooded by nearly endless cyber-security hazards, sophisticated IDS (intrusion detection systems) can become invaluable in defending against intricate security threats. Sybil-Free Metric-based routing protocol for low power and lossy network (RPL) Trustworthiness Scheme (SF-MRTS) captures the nature of the biggest threat to the routing protocol for low-power and lossy networks under the RPL module, known as the Sybil attack. Sybil attacks build a significant security challenge for RPL networks where an attacker can distort at least two hop paths and disrupt network processes. Using such a new way of calculating node reliability, we introduce a cutting-edge approach, evaluating parameters beyond routing metrics like energy conservation and actuality. SF-MRTS works precisely towards achieving a trusted network by introducing such trust metrics on secure paths. Therefore, this may be considered more likely to withstand the attacks because of these security improvements. The simulation function of SF-MRTS clearly shows its concordance with the security risk management features, which are also necessary for the network’s performance and stability maintenance. These mechanisms are based on the principles of game theory, and they allocate attractions to the nodes that cooperate while imposing penalties on the nodes that do not. This will be the way to avoid damage to the network, and it will lead to collaboration between the nodes. SF-MRTS is a security technology for emerging industrial Internet of Things (IoT) network attacks. It effectively guaranteed reliability and improved the networks’ resilience in different scenarios. PeerJ 2024-08-09 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/114891/1/114891.pdf Hussain, Muhammad Zunnurain and Mohd Hanapi, Zurina and Abdullah, Azizol and Hussin, Masnida and Ninggal, Mohd Izuan Hafez (2024) An efficient secure and energy resilient trust-based system for detection and mitigation of sybil attack detection (SAN). PeerJ Computer Science, 10. art. no. e2231. pp. 1-30. ISSN 2376-5992 https://peerj.com/articles/cs-2231/ 10.7717/peerj-cs.2231
spellingShingle Hussain, Muhammad Zunnurain
Mohd Hanapi, Zurina
Abdullah, Azizol
Hussin, Masnida
Ninggal, Mohd Izuan Hafez
An efficient secure and energy resilient trust-based system for detection and mitigation of sybil attack detection (SAN)
title An efficient secure and energy resilient trust-based system for detection and mitigation of sybil attack detection (SAN)
title_full An efficient secure and energy resilient trust-based system for detection and mitigation of sybil attack detection (SAN)
title_fullStr An efficient secure and energy resilient trust-based system for detection and mitigation of sybil attack detection (SAN)
title_full_unstemmed An efficient secure and energy resilient trust-based system for detection and mitigation of sybil attack detection (SAN)
title_short An efficient secure and energy resilient trust-based system for detection and mitigation of sybil attack detection (SAN)
title_sort efficient secure and energy resilient trust based system for detection and mitigation of sybil attack detection san
url http://psasir.upm.edu.my/id/eprint/114891/1/114891.pdf
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