Applications Of Machine Learning To Anomaly Based Intrusion Detection

Applications Of Machine Learning To Anomaly Based Intrusion Detection

This thesis concerns anomaly detection as a mechanism for intrusion detection in a machine learning framework, using two kinds of audit data : system call traces and Unix shell command traces. Anomaly detection systems model the problem of intrusion detection as a problem of self-nonself discriminat...

Full description

Bibliographic Details
Main Author: Phani, B
Other Authors: Balakrishnan, N
Language:en_US
Published: 2009
Subjects:
Intrusion Detection
Cryptography
Computer Access Control
Machine Learning
Sequence Kernel
Anomaly Detection
Data Mining
System Call Traces
Intrusion Detection Systems (IDS)
Computer Science
Online Access:http://hdl.handle.net/2005/391

Internet

http://hdl.handle.net/2005/391

Similar Items