A Real-Time Intrusion Detection System Using Data Mining Technique

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Executive Summary

Presently, most computers authenticate user ID and password before users can login these systems. However, danger soon comes if the two items are known to hackers. This paper, proposes a system, named Intrusion Detection and Identification System (IDIS), which builds a profile for each user in an intranet to keep track his/her usage habits as forensic features with which IDIS can identify who the underlying user in the intranet is. The experimental results show that the recognition accuracy of students of computer science department is up to 98.99%.

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