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Detection of intrusions and malware, and vulnerability assessment : 6th international conference, DIMVA 2009, Como, Italy, July 9-10, 2009 : proceedings

Author: Ulrich Flegel; Danilo Bruschi
Publisher: Berlin ; New York : Springer, ©2009.
Series: Lecture notes in computer science, 5587.; LNCS sublibrary., SL 4,, Security and cryptology.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Print version:
DIMVA 2009 (2009 : Como, Italy).
Detection of intrusions and malware, and vulnerability assessmen.
tBerlin : Springer, 2009
(OCoLC)427321477
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ulrich Flegel; Danilo Bruschi
ISBN: 9783642029189 3642029183 3642029175 9783642029172
OCLC Number: 432712677
Notes: Title from PDF title page (SpringerLink, viewed Sept. 9, 2009).
Description: 1 online resource (x, 223 pages) : illustrations.
Contents: 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.
Series Title: Lecture notes in computer science, 5587.; LNCS sublibrary., SL 4,, Security and cryptology.
Responsibility: Ulrich Flegel, Danilo Bruschi (eds.).

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