Beschreibung
InhaltsangabeList 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.
Autorenporträt
Dr. Sushil Jajodia 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
