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Automatic Malware Analysis : An Emulator Based Approach

Publisher: New York, NY : Springer New York : Imprint: Springer, 2013.
Series: SpringerBriefs in Computer Science
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
-- Malicious software (i.e., malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems. -- Automatic Malware Analysis presents a  Read more...
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Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
ISBN: 9781461455233 1461455235 9781461455226 1461455227
OCLC Number: 812052240
Notes: Computer Science (Springer-11645).
Description: Online-Ressource.
Contents: Introduction.- Dynamic Binary Analysis Platform.- Hidden Code Extraction.- Privacy-breaching Behavior Analysis.- Hooking Behavior Analysis.- Analysis of Trigger Conditions and Hidden Behaviors.- Concluding Remarks.
Series Title: SpringerBriefs in Computer Science
Responsibility: by Heng Yin, Dawn Song.
More information:

Abstract:

-- Malicious software (i.e., malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems. -- Automatic Malware Analysis presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms.

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From the reviews: "The authors present their architecture for dynamic binary analysis of malware. ... The authors do this quite well. Each chapter ends with a chapter summary and extensive Read more...

 
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