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Automatic malware analysis : an emulator based approach

Auteur: Heng Yin; Dawn Song
Uitgever: New York : Springer, ©2013.
Serie: SpringerBriefs in computer science.
Editie/Formaat:   eBoek : Document : EngelsAlle edities en materiaalsoorten bekijken.
Database:WorldCat
Samenvatting:
"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  Meer lezen...
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Details

Genre/Vorm: Electronic books
Aanvullende fysieke materiaalsoort: Print version:
Yin, Heng.
Automatic malware analysis.
New York : Springer, c2013
(DLC) 2012945632
(OCoLC)805044588
Genre: Document, Internetbron
Soort document: Internetbron, Computerbestand
Alle auteurs / medewerkers: Heng Yin; Dawn Song
ISBN: 9781461455233 1461455235
OCLC-nummer: 811139541
Beschrijving: 1 online resource (ix, 73 p.) : ill.
Inhoud: Dynamic Binary Analysis Platform --
Hidden Code Extraction --
Privacy-breaching Behavior Analysis --
Hooking Behavior Analysis --
Analysis of Trigger Conditions and Hidden Behaviors --
Concluding Remarks.
Serietitel: SpringerBriefs in computer science.
Verantwoordelijkheid: Heng Yin, Dawn Song.
Meer informatie:

Fragment:

"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"--Provided by publisher.

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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 Meer lezen...

 
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