Academic Journal
Data correlation analysis assists vulnerability detection.
| Τίτλος: | Data correlation analysis assists vulnerability detection. (English) |
|---|---|
| Συγγραφείς: | YIN Qing, LI Yong-wei, SHU Hui |
| Πηγή: | Application Research of Computers / Jisuanji Yingyong Yanjiu; Feb2014, Vol. 31 Issue 2, p583-589, 4p |
| Θεματικοί όροι: | Data analysis, Statistical correlation, Decompilers (Computer programs), Syntax in programming languages, Algorithms, Information science, Automation |
| Περίληψη: | In order to improve the efficiency of such vulnerabilities discovery, this paper presented a method which used data correlation analysis auxiliary vulnerabilities discovery. Firstly, the method decompiled target files and constructed the abstract syntax tree (AST), designed algorithm to extract the inversely correlation information of key variables. Then, it applied the extracted information to detect of buffer overflow. This method has obvious advantages in non-source code vulnerability discovery, can discover buffer overflow in the software effectively, and improve the efficiency and automation of vulnerability discovery. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: | Complementary Index |
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