Data Mining for Network Intrusion Detection: A Comparison of Alternative Methods

• Main Authors: ZHU, Dan, Premkumar, G., ZHANG, Xiaoning, CHU, Chao-Hsien
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: Data Mining; Inductive Learning; Intrusion Detection; Network Security; Neural Networks; Rough Sets; and Telecommunications; Computer Sciences; Management Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/1764; http://onlinelibrary.wiley.com/doi/10.1111/j.1540-5915.2001.tb00975.x/abstract
• Institution: Singapore Management University

Intrusion detection systems help network administrators prepare for and deal with network security attacks. These systems collect information from a variety of systems and network sources, and analyze them for signs of intrusion and misuse. A variety of techniques have been employed for analysis ran...