Pattern recognition (psychology)

Intrusion detection system

Wireless

Outlier

Data mining

Artificial intelligence

False alarm

Computer science

Anomaly detection

Telecommunications

Constant false alarm rate

Mobile ad hoc network

Recently, many Intrusion Detection Systems (IDS) have been proposed to detect and report about malicious nodes in Mobile Ad Hoc Networks (MANETs) by using various outlier detection algorithms. All these algorithms have limitations in terms of accuracy and speed. In this paper, we propose a new outlier detection algorithm called Weighted Distance Based Outlier Detection (WDBOD) algorithm to detect the intruders in wireless environment. The experimental results show that the proposed algorithm improves the detection accuracy and reduces the false alarm rate.

An intelligent system for intrusion detection using outlier detection