Visible to the public Addressing DAO Insider Attacks in IPv6-Based Low-Power and Lossy Networks

TitleAddressing DAO Insider Attacks in IPv6-Based Low-Power and Lossy Networks
Publication TypeConference Paper
Year of Publication2022
AuthorsVerma, Sachin Kumar, Verma, Abhishek, Pandey, Avinash Chandra
Conference Name2022 IEEE Region 10 Symposium (TENSYMP)
Date PublishedJuly
Keywords6LoWPAN, Blocklists, composability, Cyber-physical systems, DAO Insider Attack, Energy efficiency, IDS, Industrial Internet of Things, IoT, LLNs, pubcrawl, resilience, Resiliency, Routing, Routing protocols, RPL, Standards
Abstract

Low-Power and Lossy Networks (LLNs) run on resource-constrained devices and play a key role in many Industrial Internet of Things and Cyber-Physical Systems based applications. But, achieving an energy-efficient routing in LLNs is a major challenge nowadays. This challenge is addressed by Routing Protocol for Low-power Lossy Networks (RPL), which is specified in RFC 6550 as a "Proposed Standard" at present. In RPL, a client node uses Destination Advertisement Object (DAO) control messages to pass on the destination information towards the root node. An attacker may exploit the DAO sending mechanism of RPL to perform a DAO Insider attack in LLNs. In this paper, it is shown that an aggressive attacker can drastically degrade the network performance. To address DAO Insider attack, a lightweight defense solution is proposed. The proposed solution uses an early blacklisting strategy to significantly mitigate the attack and restore RPL performance. The proposed solution is implemented and tested on Cooja Simulator.

DOI10.1109/TENSYMP54529.2022.9864545
Citation Key9864545