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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/12246

Title: A Hybrid Approach for Control Flow Graph Construction from Binary Code
Authors: Nguyen, Minh Hai
Nguyen, Thien Binh
Quan, Thanh Tho
Ogawa, Mizuhito
Keywords: Binary code analysis
Malware
Conclic testing
Model generation
Issue Date: 2013-12
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: Proceedings of the 20th Asia-Pacific Software Engineering Conference (APSEC 2013)
Volume: 2
Start page: 159
End page: 164
DOI: 10.1109/APSEC.2013.132
Abstract: Binary code analysis has attracted much attention. The difficulty lies in constructing a Control Flow Graph (CFG), which is dynamically generated and modified, such as mutations. Typical examples are handling dynamic jump instructions, in which destinations may be directly modified by rewriting loaded instructions on memory. In this paper, we describe a PhD project proposal on a hybrid approach that combines static analysis and dynamic testing to construct CFG from binary code. Our aim is to minimize false targets produced when processing indirect jumps during CFG construction. To evaluate the potential of our approach, we preliminarily compare results between our method and Jakstab, a state-of-the-art tool in this field.
Rights: This is the author's version of the work. Copyright (C) 2013 IEEE. Proceedings of the 20th Asia-Pacific Software Engineering Conference (APSEC 2013), Volume:2, 2013, pp.159-164. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/12246
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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