Anomaly detection in a Low-Power and Lossy Network (LLN) is important in light of threats such as a wormhole attack. However, such detection is challenging given node constraints such as, for example, limited power and memory. Techniques are presented herein that address those challenges thus benefiting the stability, reliability, and security of LLNs. The presented techniques include, among other things, a distributed and light-weight authentication method (where identification of a suspicious node is done locally, between two nodes, thus obviating heavy traffic upward to a root node) and a node rating credit rank mechanism (through which, for example, a node may detect whether there is a wormhole attack).
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Wei, Ling; She, Huimin; Li, Chuanwei; and Zhang, Lele, "ZERO TRUST: DISTRIBUTED AND LIGHT-WEIGHT AUTHENTICATION FOR WORMHOLE ATTACKS IN LOW-POWER AND LOSSY NETWORKS", Technical Disclosure Commons, (October 01, 2020)