Print Email Facebook Twitter T-TRAIL: Preventing Decreased Rank Attacks in RPL-based IoT Networks Title T-TRAIL: Preventing Decreased Rank Attacks in RPL-based IoT Networks Author Tolsma, Pieter (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Intelligent Systems) Contributor Lal, C. (mentor) Conti, M. (mentor) Pintea, S. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2021-07-02 Abstract The Routing Protocol for Low-Power and Lossy Networks (RPL) has gained in popularity since the increased connectivity of everyday items to the Internet. One of the discovered attacks on RPL is the rank attack, which opens up possibilities for attackers to control traffic in the RPL network by spoofing their priority. Many solutions have been proposed to mitigate this attack over the past few years. There is no perfect solution yet, partly because the success of a mitigation is dependent on the network configuration in which it is implemented. In some network configurations,as this paper will show, common mitigation solutions are less effective. By selecting and analyzing four well-cited mitigation and detection solutions, the effectiveness of these proposals is reviewed when the network is configured to use nonlinear objective functions (NOFs). After this, a proposal is given to defend against a rank attack when using NOFs. TRAIL was proposed as a solution for preventing decreased rank attacks and uses a challenge-response mechanism to verify the path from a node to the root. This paper proposes T-TRAIL; an extended version of TRAIL that allows the measurement of downwards-trip-time to detect outliers in the network. By doing this, the rank attack can be prevented when the network uses a NOF. Finally, an estimation of the performance impact of T-TRAIL on the network is given based on the performance measurements of TRAIL. Subject RPLIoTRank AttackMitigation To reference this document use: http://resolver.tudelft.nl/uuid:eb373e00-ce69-4bd7-8329-68f4d4e0bd2f Part of collection Student theses Document type bachelor thesis Rights © 2021 Pieter Tolsma Files PDF Bachelor_Thesis_WEP_Tolsma.pdf 604.33 KB Close viewer /islandora/object/uuid:eb373e00-ce69-4bd7-8329-68f4d4e0bd2f/datastream/OBJ/view