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A New Approach to Malware Detection

  • Hongying Tang
  • Bo Zhu
  • Kui Ren
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5576)

Abstract

Malware has become one of the most serious threats to computer users. Early techniques based on syntactic signatures can be easily bypassed using program obfuscation. A promising direction is to combine Control Flow Graph (CFG) with instruction-level information. However, since previous work includes only coarse information, i.e., the classes of instructions of basic blocks, it results in false positives during the detection. To address this issue, we propose a new approach that generates formalized expressions upon assignment statements within basic blocks. Through combining CFG with the functionalities of basic blocks, which are represented in terms of upper variables with their corresponding formalized expressions and system calls (if any), our approach can achieve more accurate malware detection compared to previous CFG-based solutions.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hongying Tang
    • 1
  • Bo Zhu
    • 1
  • Kui Ren
    • 2
  1. 1.Concordia Institute for Information Systems EngineeringConcordia UniversityCanada
  2. 2.Department of Electrical and Computer EngineeringIllinois Institute of TechnologyUSA

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