Website security is about keeping strangers out but also enabling controlled access to a network. Nowadays security on the wireless Internet is a crucial issue, so the Intrusion Identification System (IDS) is one of the solutions used to detect harmful attacks that threaten Internet security. The two main types of IDS are Misuse based Intrusion Detection Systems and Anomaly based Intrusion Detection Systems. In Misuse detection, the IDS analyzes the information it gathers and compares it to extensive databases of known attacks. While anomaly detection monitors the behaviour of the network, profile the normal behaviour and look for any anomalies. Data mining methods has been generally applied in the network intrusion detection system by extracting useful knowledge from vast number of network data and furthermore detect the intrusions. This paper gives an overview of existing strategies utilized for intrusion detection.
Keywords
Wireless Sensor Network
Intrusion Detection System
Classification
Clustering
Key management and authentication
Authors
P.Kanagavalli
Dr.V.Karthikeyani
How to Cite this Article
P.Kanagavalli, Dr.V.Karthikeyani (2019).
"REVIEW ON SECURITY BASED DATA MINING IN WIRELESS SENSOR NETWORK’S SYSTEM".
International Journal of Contemporary Research in Computer Science and Technology,
5(2), pp. 40-45.
