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- W2179676977 abstract "In this work, an intrusion detection system (IDS) framework based on multi-level clustering for hierarchical wireless sensor networks is proposed. The framework employs two types of intrusion detection approaches: (1) downward-IDS (D-IDS) to detect the abnormal behavior (intrusion) of the subordinate (member) nodes; and (2) upward-IDS (U-IDS) to detect the abnormal behavior of the cluster heads. By using analytical calculations, the optimum parameters for the D-IDS (number of maximum hops) and U-IDS (monitoring group size) of the framework are evaluated and presented." @default.
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- W2179676977 date "2015-11-17" @default.
- W2179676977 modified "2023-10-16" @default.
- W2179676977 title "An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks" @default.
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- W2179676977 doi "https://doi.org/10.3390/s151128960" @default.
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