Automatic Malware Analysis

An Emulator Based Approach

  • Heng Yin
  • Dawn Song

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

Introduction

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.

Keywords

Binary Analysis Dynamic Binary Instrumentation Dynamic Taint Analysis Malware Analysis Virtualization

Authors and affiliations

  • Heng Yin
    • 1
  • Dawn Song
    • 2
  1. 1., Department of Electrical EngineeringSyracuse UniversitySyracuseUSA
  2. 2., Electrical Engineering andUniversity of California, BerkeleyBerkeleyUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-5523-3
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-5522-6
  • Online ISBN 978-1-4614-5523-3
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book