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provides an overview of the current state of research in machinelearning and data mining as it applies to problems in computer security. Thisbook has a strong focus on information processing and combines and extendsresults from computer security. The first part of the book surveys the datasources, the learning and mining methods, evaluation methodologies, and pastwork relevant for computer security. The second part of the book consists ofarticles written by the top researchers working in this area. These articlesdeals with topics of host-based intrusion detection through the analysis ofaudit trails, of command sequences and of system calls as well as networkintrusion detection through the analysis of TCP packets and the detection ofmalicious executables.This book fills the great need for a book that collectsand frames work on developing and applying methods from machine learning anddata mining to problems in computer security.