Details

Autor(en) / Beteiligte

• Chia-Fen Hsieh
• Yung-Fa Huang
• Rung-Ching Chen

Titel

A Light-Weight Ranger Intrusion Detection System on Wireless Sensor Networks

Ist Teil von

• 2011 Fifth International Conference on Genetic and Evolutionary Computing, 2011, p.49-52

Ort / Verlag

IEEE

Erscheinungsjahr

2011

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• In recent years, a lot of research concerns with the wireless sensor networks (WSN). With the increasing usages of WSN applications such as health care and disaster reporting, security requirements, wireless communication has become more critical. Researchers of intrusion detection system on WSN have suggested that systems' detecting mechanisms would likely affect their detections effective and lifetime of whole networks. Ontology can collect and organize the attributes of attacks However, those methods have empirically documented the link between ontology concept and light-weight Intrusion Detection System (IDS) is scant. Therefore, the aim of this paper attempts to explore how intrusion detection system about ontology and light-weight IDS are related. The manager constructs relationship of sensor nodes on ontology to detect Sybil attack. Combine light-weight IDS the ranger method to reduce energy consumption and the isolation tables avoid detecting anomaly repeatedly. We proposed a lightweight ontology-based IDS, which improves existence shortcomings of IDS on WSN effectively.