International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 156 - Issue 14 |
Published: Dec 2016 |
Authors: Rani Sahu, Shailendra Kumar Shrivastava |
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Rani Sahu, Shailendra Kumar Shrivastava . An Efficient Source Code Auditing using Fuzzy Decision Tree. International Journal of Computer Applications. 156, 14 (Dec 2016), 19-22. DOI=10.5120/ijca2016912549
@article{ 10.5120/ijca2016912549, author = { Rani Sahu,Shailendra Kumar Shrivastava }, title = { An Efficient Source Code Auditing using Fuzzy Decision Tree }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 156 }, number = { 14 }, pages = { 19-22 }, doi = { 10.5120/ijca2016912549 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Rani Sahu %A Shailendra Kumar Shrivastava %T An Efficient Source Code Auditing using Fuzzy Decision Tree%T %J International Journal of Computer Applications %V 156 %N 14 %P 19-22 %R 10.5120/ijca2016912549 %I Foundation of Computer Science (FCS), NY, USA
Here in this paper the discovery of Vulnerabilities in the Source Codes is proposed. The Proposed Methodology applied is based on the Concept of Fuzzy Based Decision Tree. The Methodology adopted here for the Checking of Codes Vulnerabilities provides efficient discovery of Vulnerabilities and hence provides improved performance and high precision and Recall. The Proposed Methodology Audits the source code and searches the possible vulnerabilities on the basis of Rules generated Fuzzy Decision Tree. Various Experimental results are achieved on numerous datasets and shows that the proposed methodology provides better accuracy in comparison.