Title :
Reconstruction of data type in obfuscated binary programs
Author :
Wei Ding ; ZhiMin Gu ; Feng Gao
Author_Institution :
Sch. of Comput. Sci. Technol., Beijing Inst. of Technol., Beijing, China
Abstract :
Recently, research community has advanced in type reconstruction technology for reverse engineering, but emerging with obfuscate technology, data type reconstruction is difficult and obfuscated code is easier to be monitored and analyzed by attacker or hacker. Therefore, we present a novel approach for automatic establish data type inference rules and reconstruct type from obfuscated binary programs using machine learning algorithm.
Keywords :
computer crime; inference mechanisms; learning (artificial intelligence); reverse engineering; system monitoring; systems analysis; data type inference rules; data type reconstruction; hacker; machine learning algorithm; obfuscated binary programs; obfuscated code analysis; obfuscated code monitoring; reverse engineering; Arrays; Binary codes; Decision trees; Educational institutions; Machine learning algorithms; Reverse engineering; Deobfuscation; Disassembly; Inference Rules; Obfuscated Binary; Type reconstruction;
Conference_Titel :
Advanced Communication Technology (ICACT), 2014 16th International Conference on
Conference_Location :
Pyeongchang
Print_ISBN :
978-89-968650-2-5
DOI :
10.1109/ICACT.2014.6778988
