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Author Identification: An Approach based on Code Feature Metrics using Decision Trees

by Rohit R. Joshi, Rajesh V. Argiddi, Sulabha S. Apte
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 4
Year of Publication: 2013
Authors: Rohit R. Joshi, Rajesh V. Argiddi, Sulabha S. Apte
10.5120/11074-5995

Rohit R. Joshi, Rajesh V. Argiddi, Sulabha S. Apte . Author Identification: An Approach based on Code Feature Metrics using Decision Trees. International Journal of Computer Applications. 66, 4 ( March 2013), 34-39. DOI=10.5120/11074-5995

@article{ 10.5120/11074-5995,
author = { Rohit R. Joshi, Rajesh V. Argiddi, Sulabha S. Apte },
title = { Author Identification: An Approach based on Code Feature Metrics using Decision Trees },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 4 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 34-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number4/11074-5995/ },
doi = { 10.5120/11074-5995 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:21:28.789467+05:30
%A Rohit R. Joshi
%A Rajesh V. Argiddi
%A Sulabha S. Apte
%T Author Identification: An Approach based on Code Feature Metrics using Decision Trees
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 4
%P 34-39
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now a day's, cases of piracies, copyrights, legal disputes, and allegations are increasing as far as field of software is concerned. In such cases it is difficult to say who is right and who is wrong between the two quarreling parties due to insufficient evidences. So, what could be done in such cases is the question? The field called as software forensic can help in such cases by giving the right direction towards the case. Software forensic is the field which can analyze the code from different viewpoints and helps in extracting the code metrics which can be syntactic, semantic, structural, behavioral, stylometric etc. These metrics can help in doing author identification, discrimination, characterization etc. Author identification plays very important role in most of the cases such as plagiarism detection, masquerade detection, software maintainability and resolving authorship disputes. This paper focuses on author identification, source code metrics, related work, proposed work and applications of author identification.

References
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  8. Boleslaw K. Szymanski,, Yongqiang Zhang , Recursive Data Mining for Masquerade Detection And Author Identification, Proc. 5th IEEE System, Man and Cybernetics Information Assurance Workshop, West Point, ,NY,June. 2004,pp. 424-431
Index Terms

Computer Science
Information Sciences

Keywords

Software Source Code Metrics Author Identification Plagiarism Detection

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