Intrusion Detection in Distributed Systems: An Abstraction-Based Approach: Advances in Information Security, cartea 9
Autor Peng Ning, Sushil Jajodia, Xiaoyang Sean Wangen Limba Engleză Paperback – 26 apr 2013
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Specificații
ISBN-13: 9781461350910
ISBN-10: 1461350913
Pagini: 160
Ilustrații: XIX, 136 p.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.23 kg
Ediția:2004
Editura: Springer Us
Colecția Springer
Seria Advances in Information Security
Locul publicării:New York, NY, United States
ISBN-10: 1461350913
Pagini: 160
Ilustrații: XIX, 136 p.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.23 kg
Ediția:2004
Editura: Springer Us
Colecția Springer
Seria Advances in Information Security
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Dedication.- List of Figures.- List of Tables.- Preface.- Acknowledgments.- 1. INTRODUCTION.- 1 Computer Security and Intrusion Detection.- 2 Intrusion Detection in Distributed Systems.- 3 Summary of Contributions.- 4 Organization.- 2. AN OVERVIEW OF RELATED RESEARCH.- 3. SYSTEM VIEW AND EVENT HISTORY.- 1 System View and Event History.- 4. MODELING REQUEST AMONG COOPERATING INTRUSION DETECTION SYSTEMS.- 1 Query.- 2 Scaling to Large and Heterogeneous Environments.- 3 Discussion.- 5. EXTENDING COMMON INTRUSION DETECTION FRAMEWORK (CIDF) TO SUPPORT QUERIES.- 1 Background.- 2 A Query Facility for CIDF.- 3 Impact on CIDF.- 6. A HIERARCHICAL MODEL FOR DISTRIBUTED ATTACKS.- 1 Misuse Signature.- 2 Defining System Views Using Signatures: A Hierarchical Model.- 3 Discussion.- 7. DECENTRALIZED DETECTION OF DISTRIBUTED ATTACKS.- 1 Serializable Signatures.- 2 Detection Task and Workflow Tree.- 3 Execution of Detection Tasks.- 4 Optimization.- 5 Generating Workflow Tree.- 8. CARDS: AN EXPERIMENTAL SYSTEM FOR DETECTING DISTRIBUTED ATTACKS.- 1 CARDS Architecture.- 2 System Design Issues.- 3 Prototype Implementation.- 9. CONCLUSION.- Appendices.- References.
Notă biografică
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
Caracteristici
Includes machine learning and data mining technologies Unique new approach is superior to existing centralized or hierarchical approaches