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Automatic malware analysis : an emulator based approach

Autore: Heng Yin; Dawn Song
Editore: New York : Springer, ©2013.
Serie: SpringerBriefs in computer science.
Edizione/Formato:   eBook : Document : EnglishVedi tutte le edizioni e i formati
Banca dati:WorldCat
Sommario:
"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  Per saperne di più…
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Genere/forma: Electronic books
Informazioni aggiuntive sul formato: Print version:
Yin, Heng.
Automatic malware analysis.
New York : Springer, ©2013
(DLC) 2012945632
(OCoLC)805044588
Tipo materiale: Document, Risorsa internet
Tipo documento: Internet Resource, Computer File
Tutti gli autori / Collaboratori: Heng Yin; Dawn Song
ISBN: 9781461455233 1461455235
Numero OCLC: 811139541
Descrizione: 1 online resource (ix, 73 pages) : illustrations.
Contenuti: Dynamic Binary Analysis Platform --
Hidden Code Extraction --
Privacy-breaching Behavior Analysis --
Hooking Behavior Analysis --
Analysis of Trigger Conditions and Hidden Behaviors --
Concluding Remarks.
Titolo della serie: SpringerBriefs in computer science.
Responsabilità: Heng Yin, Dawn Song.
Maggiori informazioni:

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"--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 Per saperne di più…

 
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