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] |
| Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 95444170 RelevancyScore: 835 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 834.8955078125 |
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| Items | – Name: Title Label: Title Group: Ti Data: Data correlation analysis assists vulnerability detection. (English) – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22YIN+Qing%22">YIN Qing</searchLink><br /><searchLink fieldCode="AR" term="%22LI+Yong-wei%22">LI Yong-wei</searchLink><br /><searchLink fieldCode="AR" term="%22SHU+Hui%22">SHU Hui</searchLink> – Name: TitleSource Label: Source Group: Src Data: Application Research of Computers / Jisuanji Yingyong Yanjiu; Feb2014, Vol. 31 Issue 2, p583-589, 4p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Decompilers+%28Computer+programs%29%22">Decompilers (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Syntax+in+programming+languages%22">Syntax in programming languages</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Information+science%22">Information science</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3969/j.issn.1001-3695.2014.02.063 Languages: – Code: chi Text: Chinese PhysicalDescription: Pagination: PageCount: 4 StartPage: 583 Subjects: – SubjectFull: Data analysis Type: general – SubjectFull: Statistical correlation Type: general – SubjectFull: Decompilers (Computer programs) Type: general – SubjectFull: Syntax in programming languages Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Information science Type: general – SubjectFull: Automation Type: general Titles: – TitleFull: Data correlation analysis assists vulnerability detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: YIN Qing – PersonEntity: Name: NameFull: LI Yong-wei – PersonEntity: Name: NameFull: SHU Hui IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 10013695 Numbering: – Type: volume Value: 31 – Type: issue Value: 2 Titles: – TitleFull: Application Research of Computers / Jisuanji Yingyong Yanjiu Type: main |
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