© 2013

Automatic Malware Analysis

An Emulator Based Approach


Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Heng Yin, Dawn Song
    Pages 1-4
  3. Heng Yin, Dawn Song
    Pages 5-16
  4. Heng Yin, Dawn Song
    Pages 17-26
  5. Heng Yin, Dawn Song
    Pages 27-42
  6. Heng Yin, Dawn Song
    Pages 43-58
  7. Heng Yin, Dawn Song
    Pages 59-67
  8. Heng Yin, Dawn Song
    Pages 69-73

About this book


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.


Binary Analysis Dynamic Binary Instrumentation Dynamic Taint Analysis Malware Analysis Virtualization

Authors and affiliations

  1. 1., Department of Electrical EngineeringSyracuse UniversitySyracuseUSA
  2. 2., Electrical Engineering andUniversity of California, BerkeleyBerkeleyUSA

Bibliographic information

Industry Sectors
Chemical Manufacturing
IT & Software
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Finance, Business & Banking
Energy, Utilities & Environment


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)