Barbará / Jajodia | Applications of Data Mining in Computer Security | E-Book | sack.de
E-Book

E-Book, Englisch, Band 6, 252 Seiten, eBook

Reihe: Advances in Information Security

Barbará / Jajodia Applications of Data Mining in Computer Security


2002
ISBN: 978-1-4615-0953-0
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 6, 252 Seiten, eBook

Reihe: Advances in Information Security

ISBN: 978-1-4615-0953-0
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark



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.

Barbará / Jajodia Applications of Data Mining in Computer Security jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


List of Figures. List of Tables.

Preface.

1. Modern Intrusion Detection, Data Mining, and Degrees of Attack Guilt; S. Noel, et al.

2. Data Mining for Intrusion Detection; K. Julisch.

3. An Architecture for Anomaly Detection; D. Barbará, et al.

4. A Geometric Framework for Unsupervised Anomaly Detection; E. Eskin, et al.

5. Fusing a Heterogeneous Alert Stream into Scenarios; O. Dain, K. Cunningham.

6. Using MIB II Variables for Network Intrusion Detection; Xinzhou Qin, et al.

7. Adaptive Model Generation; A. Honig, et al.

8. Proactive Intrusion Detection; J.B.D. Cabrera, et al.

9. References.

Index.


is Professor and Chairman of the Dept. of Information and Software Engineering, and Director of the Center for Secure Information Systems at the George Mason University, Fairfax, Virginia, USA



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.