Detection of Intrusions and Malware, and Vulnerability Assessment

Lieferzeit: Lieferbar innerhalb 14 Tagen

53,49 

6th International Conference, DIMVA 2009, Milan, Italy, July 9-10,2009.Proceedings, Lecture Notes in Computer Science 5587 – Security and Cryptology

ISBN: 3642029175
ISBN 13: 9783642029172
Herausgeber: Ulrich Flegel/Danilo Bruschi
Verlag: Springer Verlag GmbH
Umfang: x, 225 S.
Erscheinungsdatum: 01.07.2009
Auflage: 1/2009
Produktform: Kartoniert
Einband: Kartoniert

InhaltsangabeMalware 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.

Artikelnummer: 7477090 Kategorie:

Beschreibung

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 from 44 initial submissions. The papers are organized in topical sections on malware and SPAM, emulation-based detection, software diversity, harnessing context, and anomaly detection.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …