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Li-MSD: A lightweight mitigation solution for DAO insider attack in RPL-based IoT.

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Title: Li-MSD: A lightweight mitigation solution for DAO insider attack in RPL-based IoT.
Authors: Verma, Abhishek1,2 (AUTHOR) abhiverma866@gmail.com, Verma, Sachin Kumar1 (AUTHOR) 20mcs013@iiitdmj.ac.in, Pandey, Avinash Chandra1 (AUTHOR) avish.p@iiitdmj.ac.in, Grover, Jyoti3 (AUTHOR) jgrover.cse@mnit.ac.in, Sharma, Girish3,4 (AUTHOR) 2020rcp9012@mnit.ac.in
Source: Future Generation Computer Systems. Oct2024, Vol. 159, p327-339. 13p.
Subjects: Internet Engineering Task Force (Organization), Internet of things, Digital transformation, Network performance
Abstract: Many IoT applications run on a wireless infrastructure supported by resource-constrained nodes which is popularly known as Low-Power and Lossy Networks (LLNs). Currently, LLNs play a vital role in digital transformation of industries. The resource limitations of LLNs restrict the usage of traditional routing protocols and therefore require an energy-efficient routing solution. IETF's Routing Protocol for Low-power Lossy Networks (RPL, pronounced "ripple") is one of the most popular energy-efficient protocols for LLNs, specified in RFC 6550. In RPL, Destination Advertisement Object (DAO) control message is transmitted by a child node to pass on its reachability information to its immediate parent or root node. An attacker may exploit the insecure DAO sending mechanism of RPL to perform "DAO insider attack" by transmitting DAO multiple times. This paper shows that an aggressive DAO insider attacker can drastically degrade network performance. We propose a Li ghtweight M itigation S olution for D AO insider attack, which is termed as "Li-MSD". Li-MSD uses a blacklisting strategy to mitigate the attack and restore RPL performance, significantly. By using simulations, it is shown that Li-MSD outperforms the existing solution in the literature. • To address DAO insider attacks against RPL a solution named "Li-MSD" is proposed. • Impact of DAO insider attacks on static and mobile network scenarios is studied. • Performance of Li-MSD is compared with the existing solution, i.e., SecRPL. • It is shown that Li-MSD is a lightweight security solution based on memory footprint. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:Many IoT applications run on a wireless infrastructure supported by resource-constrained nodes which is popularly known as Low-Power and Lossy Networks (LLNs). Currently, LLNs play a vital role in digital transformation of industries. The resource limitations of LLNs restrict the usage of traditional routing protocols and therefore require an energy-efficient routing solution. IETF's Routing Protocol for Low-power Lossy Networks (RPL, pronounced "ripple") is one of the most popular energy-efficient protocols for LLNs, specified in RFC 6550. In RPL, Destination Advertisement Object (DAO) control message is transmitted by a child node to pass on its reachability information to its immediate parent or root node. An attacker may exploit the insecure DAO sending mechanism of RPL to perform "DAO insider attack" by transmitting DAO multiple times. This paper shows that an aggressive DAO insider attacker can drastically degrade network performance. We propose a Li ghtweight M itigation S olution for D AO insider attack, which is termed as "Li-MSD". Li-MSD uses a blacklisting strategy to mitigate the attack and restore RPL performance, significantly. By using simulations, it is shown that Li-MSD outperforms the existing solution in the literature. • To address DAO insider attacks against RPL a solution named "Li-MSD" is proposed. • Impact of DAO insider attacks on static and mobile network scenarios is studied. • Performance of Li-MSD is compared with the existing solution, i.e., SecRPL. • It is shown that Li-MSD is a lightweight security solution based on memory footprint. [ABSTRACT FROM AUTHOR]
ISSN:0167739X
DOI:10.1016/j.future.2024.05.032