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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wenwu Li Chao Li Miyi Duan |
| Copyright Year | 2014 |
| Description | Author affiliation: Beihang Univ., Beijing, China (Wenwu Li; Chao Li; Miyi Duan) |
| Abstract | Authors of obfuscated malicious code generally use the code obfuscation counter technology to improve the difficulty of being reversely analyzed for programming and hide critical code, data and program logic. The detection for malicious code of code obfuscation has become one of the popular topics being researched both domestically and abroad. In this study, a method for detecting the obfuscated malicious code with behavior connection is proposed. In this method, malicious acts are described based on the extended control flow graph to improve the descriptive power of self-modifying and obfuscated code. Furthermore, interference from malicious code brought by shell adding and obfuscation is eliminated by combining the method of stain diffusion and symbolic execution. Then malicious codes are extracted and detected based on behavior connection feature. As a result, accuracy of detecting the obfuscated malicious code is enhanced. |
| Starting Page | 234 |
| Ending Page | 240 |
| File Size | 263866 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781479947201 |
| e-ISBN | 9781479947195 |
| DOI | 10.1109/CCIS.2014.7175735 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Analysis of malicious code Detection of malicious code Stain diffusion Process control Interference Feature extraction Registers Flow graphs Monitoring Engines |
| Content Type | Text |
| Resource Type | Article |
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