Advanced Intrusion Detection System Using Data Mining

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Provided by: International Journal of Advance Research and Innovation (IJARI)
Topic: Networking
Format: PDF
The number of hacking and intrusion incidents is increasing alarmingly each year as new technology rolls out. In this paper, the authors designed Intrusion Detection System (IDS) that implements predefined algorithms for identifying the attacks over a network. In this paper, they discuss the term Intrusion Detection System (IDS) using data mining which is generally used with the net working applications where the hacking attempts are made by the hackers. The key ideas are to use data mining techniques to discover consistent and useful patterns of system features that describe program and user behavior and use the set of relevant system features to compute (inductively learned) classifier that can recognize anomalies and known intrusions.
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