WIDS: A Sensor-Based Online Mining Wireless Intrusion Detection System

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Provided by: Association for Computing Machinery
Topic: Big Data
Format: PDF
In this paper, the authors propose WIDS, a wireless intrusion detection system, which applies data mining clustering technique to wireless network data captured through hardware sensors for purposes of real time detection of anomalous behavior in wireless packets. Using hardware sensors to capture network packets enables detection of attacks before they reach access points and ensures all packets transmitted in the networks are analyzed for more complete attack detection. The proposed mining based technique for wireless network intrusion detection contributes by reducing the need for training data, reducing false positives and increasing the effectiveness of attack detection on networks with few (one to twenty) connections.
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