Enhance Information Flow Tracking with Function Recognition  

作　　者：Zhou Kan Huang Shiqiu Huang Shan Qi Zhengwei Gu Jian Guan Haibing 

机构地区：[1]School of software, Shanghai Jliao Tong University, Shanghai 200240, P. R. China [2]Key Lab of Information Network Security, Ministry of Public Security [3]Department of Computer Science ＆ Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R China [4]Shanghai Key Laboratory of Scalable Computing ＆ System, Shanghai, P. R. China

出　　处：《China Communications》2010年第6期24-29,共6页中国通信（英文版）

基　　金：This work is supported by National Natural Science Foundation of China （Grant No.60773093, 60873209, and 60970107）, the Key Program for Basic Research of Shanghai （Grant No. 09JC1407900, 09510701600, 10511500100）, IBM SUR Funding and IBM Research-China JP Funding, and Key Lab of Information Network Security, Ministry of Public Security.

摘　　要：With the spread use of the computers, a new crime space and method are presented for criminals. Thus computer evidence plays a key part in criminal cases. Traditional computer evidence searches require that the computer specialists know what is stored in the given computer. Binary-based information flow tracking which concerns the changes of control flow is an effective way to analyze the behavior of a program. The existing systems ignore the modifications of the data flow, which may be also a malicious behavior. Thus the function recognition is introduced to improve the information flow tracking. Function recognition is a helpful technique recognizing the function body from the software binary to analyze the binary code. And that no false positive and no false negative in our experiments strongly proves that our approach is effective.

关 键 词：function recognition information flow tracking program behavior e-evidence. 

分 类 号：TP393.07[自动化与计算机技术—计算机应用技术] U491.17[自动化与计算机技术—计算机科学与技术]