SMTrust: Proposing Trust-Based Secure Routing Protocol for RPL Attacks for IoT Applications
With large scale generation and exchange of data between IoT devices and constrained IoT security to protect data communication, it becomes easy for attackers to compromise data routes. In IoT networks, IPv6 Routing Protocol is the de facto routing protocol for Low Power and Lossy Networks (RPL). RP...
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Institute of Electrical and Electronics Engineers Inc.
2020
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my.utp.eprints.298522022-03-25T02:57:29Z SMTrust: Proposing Trust-Based Secure Routing Protocol for RPL Attacks for IoT Applications Muzammal, S.M. Murugesan, R.K. Jhanjhi, N.Z. Jung, L.T. With large scale generation and exchange of data between IoT devices and constrained IoT security to protect data communication, it becomes easy for attackers to compromise data routes. In IoT networks, IPv6 Routing Protocol is the de facto routing protocol for Low Power and Lossy Networks (RPL). RPL offers limited security against several RPL-specific and WSN-inherited attacks in IoT applications. Additionally, IoT devices are limited in memory, processing, and power to operate properly using the traditional Internet and routing security solutions. Several mitigation schemes for the security of IoT networks and routing, have been proposed including Machine Learning-based, IDS-based, and Trust-based approaches. In existing trust-based methods, mobility of nodes is not considered at all or its insufficient for mobile sink nodes, specifically for security against RPL attacks. This research work proposes a conceptual design, named SMTrust, for security of routing protocol in IoT, considering the mobility-based trust metrics. The proposed solution intends to provide defense against popular RPL attacks, for example, Blackhole, Greyhole, Rank, Version Number attacks, etc. We believe that SMTrust shall provide better network performance for attacks detection accuracy, mobility and scalability as compared to existing trust models, such as, DCTM-RPL and SecTrust-RPL. The novelty of our solution is that it considers the mobility metrics of the sensor nodes as well as the sink nodes, which has not been addressed by the existing models. This consideration makes it suitable for mobile IoT environment. The proposed design of SMTrust, as secure routing protocol, when embedded in RPL, shall ensure confidentiality, integrity, and availability among the sensor nodes during routing process in IoT communication and networks. © 2020 IEEE. Institute of Electrical and Electronics Engineers Inc. 2020 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097548540&doi=10.1109%2fICCI51257.2020.9247818&partnerID=40&md5=4df3003b92d4dd4da7dd139b6e18de7c Muzammal, S.M. and Murugesan, R.K. and Jhanjhi, N.Z. and Jung, L.T. (2020) SMTrust: Proposing Trust-Based Secure Routing Protocol for RPL Attacks for IoT Applications. In: UNSPECIFIED. http://eprints.utp.edu.my/29852/ |
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With large scale generation and exchange of data between IoT devices and constrained IoT security to protect data communication, it becomes easy for attackers to compromise data routes. In IoT networks, IPv6 Routing Protocol is the de facto routing protocol for Low Power and Lossy Networks (RPL). RPL offers limited security against several RPL-specific and WSN-inherited attacks in IoT applications. Additionally, IoT devices are limited in memory, processing, and power to operate properly using the traditional Internet and routing security solutions. Several mitigation schemes for the security of IoT networks and routing, have been proposed including Machine Learning-based, IDS-based, and Trust-based approaches. In existing trust-based methods, mobility of nodes is not considered at all or its insufficient for mobile sink nodes, specifically for security against RPL attacks. This research work proposes a conceptual design, named SMTrust, for security of routing protocol in IoT, considering the mobility-based trust metrics. The proposed solution intends to provide defense against popular RPL attacks, for example, Blackhole, Greyhole, Rank, Version Number attacks, etc. We believe that SMTrust shall provide better network performance for attacks detection accuracy, mobility and scalability as compared to existing trust models, such as, DCTM-RPL and SecTrust-RPL. The novelty of our solution is that it considers the mobility metrics of the sensor nodes as well as the sink nodes, which has not been addressed by the existing models. This consideration makes it suitable for mobile IoT environment. The proposed design of SMTrust, as secure routing protocol, when embedded in RPL, shall ensure confidentiality, integrity, and availability among the sensor nodes during routing process in IoT communication and networks. © 2020 IEEE. |
format |
Conference or Workshop Item |
author |
Muzammal, S.M. Murugesan, R.K. Jhanjhi, N.Z. Jung, L.T. |
spellingShingle |
Muzammal, S.M. Murugesan, R.K. Jhanjhi, N.Z. Jung, L.T. SMTrust: Proposing Trust-Based Secure Routing Protocol for RPL Attacks for IoT Applications |
author_facet |
Muzammal, S.M. Murugesan, R.K. Jhanjhi, N.Z. Jung, L.T. |
author_sort |
Muzammal, S.M. |
title |
SMTrust: Proposing Trust-Based Secure Routing Protocol for RPL Attacks for IoT Applications |
title_short |
SMTrust: Proposing Trust-Based Secure Routing Protocol for RPL Attacks for IoT Applications |
title_full |
SMTrust: Proposing Trust-Based Secure Routing Protocol for RPL Attacks for IoT Applications |
title_fullStr |
SMTrust: Proposing Trust-Based Secure Routing Protocol for RPL Attacks for IoT Applications |
title_full_unstemmed |
SMTrust: Proposing Trust-Based Secure Routing Protocol for RPL Attacks for IoT Applications |
title_sort |
smtrust: proposing trust-based secure routing protocol for rpl attacks for iot applications |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2020 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097548540&doi=10.1109%2fICCI51257.2020.9247818&partnerID=40&md5=4df3003b92d4dd4da7dd139b6e18de7c http://eprints.utp.edu.my/29852/ |
_version_ |
1738657024552468480 |
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13.211869 |