A trust-based intrusion detection system for mobile RPL based networks

Medjek, Faiza; Tandjaoui, Djamel; Romdhani, Imed; Djedjig, Nabil

Abstract

Successful deployment of Low power and Lossy Networks (LLNs) requires self-organising, self-configuring, security, and mobility support. However, these characteristics can be exploited to perform security attacks against the Routing Protocol for Low-Power and Lossy Networks (RPL). In this paper, we address the lack of strong identity and security mechanisms in RPL. We first demonstrate by simulation the impact of Sybil-Mobile attack, namely SybM, on RPL with respect to control overhead, packet delivery and energy consumption. Then, we introduce a new Intrusion Detection System (IDS) scheme for RPL, named Trust-based IDS (T-IDS). T-IDS is a distributed, cooperative and hierarchical trust-based IDS, which can detect novel intrusions by comparing network behavior deviations. In T-IDS, each node is considered as monitoring node and collaborates with his peers to detect intrusions and report them to a 6LoWPAN Border Router (6BR). In our solution, we introduced a new timer and minor extensions to RPL messages format to deal with mobility, identity and multicast issues. In addition, each node is equipped with a Trusted Platform Module co-processor to handle identification and off-load security related computation and storage.

Citation

Medjek, F., Tandjaoui, D., Romdhani, I., & Djedjig, N. (2018). A trust-based intrusion detection system for mobile RPL based networks. In 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (735-742). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.113

• Conference Name: 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
• Conference Location: Exeter, UK
• Start Date: Jun 21, 2017
• End Date: Jun 23, 2017
• Online Publication Date: Feb 1, 2018
• Publication Date: Feb 1, 2018
• Deposit Date: Apr 25, 2024
• Pages: 735-742
• Book Title: 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
• ISBN: 9781538630655
• DOI: https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.113
• Public URL: https://uwe-repository.worktribe.com/output/11912671