An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network.
Where this comes from
- Record sourced from PubMed, PMID 26447696.
- Also identified by DOI 10.1371/journal.pone.0139513 and PMC identifier 4598086.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Considering wireless sensor network characteristics, this paper combines anomaly and mis-use detection and proposes an integrated detection model of cluster-based wireless sensor network, aiming at enhancing detection rate and reducing false rate. Adaboost algorithm with hierarchical structures is used for anomaly detection of sensor nodes, cluster-head nodes and Sink nodes. Cultural-Algorithm and Artificial-Fish-Swarm-Algorithm optimized Back Propagation is applied to mis-use detection of Sink node. Plenty of simulation demonstrates that this integrated model has a strong performance of intrusion detection.
Medical subject headings
- Algorithms
- Computer Communication Networks
- Computer Security
- Wireless Technology