This volume on data mining for computer security applications provides practical information on the development of algorithms for the detection of malicious software and other threats in data rich environments. Beginning with an overview of the use of data mining in security applications the work covers topics such as email worm detection, malicious executable detection, data mining for detecting remote exploits, botnets, stream mining for security applications, and emerging research areas. Chapters include detailed equations and examples. Masud is a post doctoral researcher and Khan and Thuraisingham are professors of computer science at the University of Texas, Dallas. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com)