Overview
- Cutting-edge behavior-based techniques to analyze & detect obfuscated malware
- Analyzes current trends in malware activity online, including botnets and malicious code for profit
- Proposes effective models for detection & prevention of attacks using cooperation & collaboration between detectors
- Introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Information Security (ADIS, volume 27)
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About this book
Shared resources, such as the Internet, have created a highly interconnected cyber-infrastructure. Critical infrastructures in domains such as medical, power, telecommunications, and finance are highly dependent on information systems. These two factors have exposed our critical infrastructures to malicious attacks and accidental failures. Many malicious attacks are achieved by malicious code or malware, such as viruses and worms. Given the deleterious affects of malware on our cyber infrastructure, identifying malicious programs is an important goal. Unfortunately, malware detectors have not kept pace with the evasion techniques commonly used by hackers, i.e., the good guys are falling behind in the arms race.
Malware Detection captures the state of the art research in the area of malicious code detection, prevention and mitigation.
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Table of contents (13 papers)
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Front Matter
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Overview
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Front Matter
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Software Analysis and Assurance
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Front Matter
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Distributed Threat Detection and Defense
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Front Matter
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Stealthy and Targeted Threat Detection and Defense
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Front Matter
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Novel Techniques for Constructing Trustworthy Services
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Malware Detection
Editors: Mihai Christodorescu, Somesh Jha, Douglas Maughan, Dawn Song, Cliff Wang
Series Title: Advances in Information Security
DOI: https://doi.org/10.1007/978-0-387-44599-1
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-32720-4Published: 31 October 2006
Softcover ISBN: 978-1-4419-4095-7Published: 23 November 2010
eBook ISBN: 978-0-387-44599-1Published: 06 March 2007
Series ISSN: 1568-2633
Series E-ISSN: 2512-2193
Edition Number: 1
Number of Pages: XII, 312
Number of Illustrations: 20 b/w illustrations
Topics: Computer Communication Networks, Cryptology, Data Structures and Information Theory, Computer Systems Organization and Communication Networks, Coding and Information Theory, Data Structures