Machine Learning and Data Mining for Computer Security: Methods and Applications
Publisher: Springer | ISBN: 184628029X | edition 2005 | PDF | 218 pages | 1,1 mb
The first part of the book surveys the data sources, the learning and mining methods, evaluation methodologies, and past work relevant for computer security. The second part of the book consists of articles written by the top researchers working in this area. These articles deals with topics of host-based intrusion detection through the analysis of audit trails, of command sequences and of system calls as well as network intrusion detection through the analysis of TCP packets and the detection of malicious executables.