A new set partitioning strategy using Grassmann distance and a gain mutual influence metric enables distributed attack detection in large IoT networks with at most 1.648% performance gap and O(1/m) computation reduction.
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Robust Set Partitioning Strategy for Malicious Information Detection in Large-Scale Internet of Things
A new set partitioning strategy using Grassmann distance and a gain mutual influence metric enables distributed attack detection in large IoT networks with at most 1.648% performance gap and O(1/m) computation reduction.