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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. From this perspective, it was just a matter of time for the discipline to reach the important area of computer security. Applications Of Data Mining In Computer Security presents a collection of research efforts on the use of data mining in computer security.
Applications Of Data Mining In Computer Security concentrates heavily on the use of data mining in the area of intrusion detection. The reason for this is twofold. First, the volume of data dealing with both network and host activity is so large that it makes it an ideal candidate for using data mining techniques. Second, intrusion detection is an extremely critical activity. This book also addresses the application of data mining to computer forensics. This is a crucial area that seeks to address the needs of law enforcement in analyzing the digital evidence.
Editors and Affiliations
About the editors
Bibliographic Information
Book Title: Applications of Data Mining in Computer Security
Editors: Daniel Barbará, Sushil Jajodia
Series Title: Advances in Information Security
DOI: https://doi.org/10.1007/978-1-4615-0953-0
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2002
Hardcover ISBN: 978-1-4020-7054-9Published: 31 May 2002
Softcover ISBN: 978-1-4613-5321-8Published: 23 October 2012
eBook ISBN: 978-1-4615-0953-0Published: 06 December 2012
Series ISSN: 1568-2633
Series E-ISSN: 2512-2193
Edition Number: 1
Number of Pages: XX, 252
Topics: Theory of Computation, Cryptology, Artificial Intelligence, Data Structures and Information Theory, Management of Computing and Information Systems, Computer Communication Networks