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Automatic Malware Analysis

An Emulator Based Approach

Heng Yin Dawn Song

$126.95   $101.37

Paperback

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English
Springer-Verlag New York Inc.
14 September 2012
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.
By:   ,
Imprint:   Springer-Verlag New York Inc.
Country of Publication:   United States
Edition:   2013 ed.
Dimensions:   Height: 235mm,  Width: 155mm,  Spine: 4mm
Weight:   454g
ISBN:   9781461455226
ISBN 10:   1461455227
Series:   SpringerBriefs in Computer Science
Pages:   73
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Reviews for Automatic Malware Analysis: An Emulator Based Approach

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 references. ... the book presents a good concise explanation of the proposed architecture for automated detection of malware. It makes a useful little brief for quickly coming to grips with the basics of how malware works. (David B. Henderson, Computing Reviews, May, 2013)


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