Detection of Intrusions and Malware, and Vulnerability Assessment 6th International Conference, DIMVA 2009, Como, Italy, July 9-10, 2009. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Flegel, Ulrich (Επιμελητής έκδοσης), Bruschi, Danilo (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
• Σειρά: Lecture Notes in Computer Science, 5587
• Θέματα: Computer science.; Computer communication systems.; Computer security.; Data encryption (Computer science).; Computers and civilization.; Management information systems.; Computer Science.; Data Encryption.; Management of Computing and Information Systems.; Computer Communication Networks.; Systems and Data Security.; Computers and Society.

This book constitutes the refereed proceedings of the 6th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2009, held in Milan, Italy, in July 2009. The 10 revised full papers presented together with three extended abstracts were carefully selected...

Πίνακας περιεχομένων:

• Malware and SPAM
• A Case Study on Asprox Infection Dynamics
• How Good Are Malware Detectors at Remediating Infected Systems?
• Towards Proactive Spam Filtering (Extended Abstract)
• Emulation-Based Detection
• Shepherding Loadable Kernel Modules through On-demand Emulation
• Yataglass: Network-Level Code Emulation for Analyzing Memory-Scanning Attacks
• Defending Browsers against Drive-by Downloads: Mitigating Heap-Spraying Code Injection Attacks
• Software Diversity
• Polymorphing Software by Randomizing Data Structure Layout
• On the Effectiveness of Software Diversity: A Systematic Study on Real-World Vulnerabilities
• Harnessing Context
• Using Contextual Information for IDS Alarm Classification (Extended Abstract)
• Browser Fingerprinting from Coarse Traffic Summaries: Techniques and Implications
• A Service Dependency Modeling Framework for Policy-Based Response Enforcement
• Anomaly Detection
• Learning SQL for Database Intrusion Detection Using Context-Sensitive Modelling (Extended Abstract)
• Selecting and Improving System Call Models for Anomaly Detection.