Efficient Machine Learning Techniques for Intrusion Detection System in WSN
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Date
2015
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Abstract
Due to the tremendous growth of Wireless Sensor Network (WSN) in various area
especially military application, environment monitoring, health care application, home
automation, etc., they are highly exposed to the security threats as well as online fraud.
Intrusion Detection System (IDS) are the major research problem and an effective method to
detect and analyze various kinds of attack in an internetwork system. Intrusion Detection System
(IDS) is mainly designed for security purpose by alerting administrator automatically when
someone or something is trying to compromise information system through malicious activities
or through security policy violations. Therefore, developing IDS for WSN have attracted many
recently and thus, there are many enhanced machine learning techniques that are integrated with
IDS to identify unusual access or attacks that approach network system.