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Proactive trust classification for detection of replication attacks in 6LoWPAN-based IoT - 2021

Author(s) Name:  Bacem Mbarek, Mouzhi Ge, Tomas Pitnera
Journal name:  Internet of Things
Conferrence name:  
Publisher name:  ELSEVIER
DOI:  https://doi.org/10.1016/j.iot.2021.100442
Research Area:  Internet of Things
Abstract:

The 6LoWPAN standard has been widely applied in different Internet of Things (IoT) application domains. However, since the nodes in the IoT are mostly resource constrained, 6LoWPAN is vulnerable to a variety of security attacks. Among others, replication attack is one of the severe security threads to IoT networks. This paper therefore proposes a trust-based detection strategy against replication attacks in IoT, where a number of replica nodes are intentionally inserted into the network to test the reliability and response of witness nodes. We further assess the feasibility of the proposed detection strategy and compare with two other strategies such as brute-force and first visited strategy via a thorough simulation. The evaluation takes into account the detection probability for compromised attacks, the execution time of transactions and rate of communication failure. The simulation results show that while maintaining detection runtime on average 60 s for up to 1000 nodes, the proposed trust-based strategy can significantly increase the detection probability to 90 percent on average against replication attacks and in turn significantly reduce the communication failure.

Volume Information:  Volume 16, December 2021, 100442
Journal Link:

https://www.sciencedirect.com/science/article/abs/pii/S2542660521000858