Anomaly intrusion detection in wireless sensor networks

  • Authors:
  • Vijay Bhuse;Ajay Gupta

  • Affiliations:
  • Western Michigan University, Kalamazoo, MI;Western Michigan University, Kalamazoo, MI

  • Venue:
  • Journal of High Speed Networks - Special issue on trusted internet workshop (TIW) 2004
  • Year:
  • 2006

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Abstract

We propose lightweight methods to detect anomaly intrusions in wireless sensor networks (WSNs). The main idea is to reuse the already available system information that is generated at various layers of a network stack. To the best of our knowledge, this is the first such approach for anomaly intrusion detection in WSNs.