2015•Unpublished venueRequires access

Research on the Collaborative Analysis Technology for Source Code and Binary Executable Based upon the Unified Defect Mode Set

Xiaobing Liang, Baojiang Cui, Yingjie Lv, Yilun Fu

Open publisher page 1 citations

Abstract

The security defect detection technology based on source code usually makes use of static analysis methods to detect security vulnerabilities in the test software, which does not consider the runtime information of program execution and the interaction information with the program runtime surrounding environment, so the security defect detection technology based on source code usually results in higher false positive rate. The binary program vulnerability detection methods based upon dynamic analysis usually have lower false positive rate, but their effectiveness depends entirely on test case generation, the detection efficiency of dynamic analysis based on binary program is lower. Moreover, the research of source code vulnerability detection technique and binary executable vulnerability detection technique are essentially fragmented, without considering the relationship between the two classes of methods. In order to improve the efficiency for source code and binary executables vulnerability detection, we presents a collaborative analysis method for vulnerability detection of source code and binary executables based upon the unified defect mode set, meanwhile, we verify the effectiveness of our method using a concrete example in this paper.

About this research paper

What this paper is about

The security defect detection technology based on source code usually makes use of static analysis methods to detect security vulnerabilities in the test software, which does not consider the runtime information of program execution and the interaction information with the program runtime surrounding environment, so the security defect detection technology based on source code usually results in higher false positive rate. The binary program vulnerability detection methods based upon dynamic analysis usually have lower false positive rate, but their effectiveness depends entirely on test case generation, the detection efficiency of dynamic analysis based on binary program is lower. Moreover, the research of source code vulnerability detection technique and binary executable vulnerability detection technique are essentially fragmented, without considering the relationship between the two classes of methods. In order to improve the efficiency for source code and binary executables vulnerability detection, we presents a collaborative analysis method for vulnerability detection of source code and binary executables based upon the unified defect mode set, meanwhile, we verify the effectiveness of our method using a concrete example in this paper.

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Available abstract

The security defect detection technology based on source code usually makes use of static analysis methods to detect security vulnerabilities in the test software, which does not consider the runtime information of program execution and the interaction information with the program runtime surrounding environment, so the security defect detection technology based on source code usually results in higher false positive rate. The binary program vulnerability detection methods based upon dynamic analysis usually have lower false positive rate, but their effectiveness depends entirely on test case generation, the detection efficiency of dynamic analysis based on binary program is lower. Moreover, the research of source code vulnerability detection technique and binary executable vulnerability detection technique are essentially fragmented, without considering the relationship between the two classes of methods. In order to improve the efficiency for source code and binary executables vulnerability detection, we presents a collaborative analysis method for vulnerability detection of source code and binary executables based upon the unified defect mode set, meanwhile, we verify the effectiveness of our method using a concrete example in this paper.

Key concepts: Executable, Computer science, Source code, Vulnerability (computing), Binary code, Static analysis, Dynamic program analysis, Binary number

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