Application of Modified Memetic Algorithm to Uncover Authorship Styles in Software Forensics
Y. Manas Kumar1, L.Yamuna2, S.R.Y. Himatej3
1Y. Manas Kumar, Assistant Professor, Department of Computer Science, Pragati Engineerining College(A), Kakinada (Andhra Pradesh), India.
2L. Yamuna, Assistant Professor, Department of Computer Science, Pragati Engineerining College (A), Kakinada (Andhra Pradesh), India.
3S.R.Y. Himatej, B.Tech IV Year, Department of Computer Science, Pragati Engineerining College (A), Kakinada (Andhra Pradesh), India.
Manuscript received on 07 February 2019 | Revised Manuscript received on 20 February 2019 | Manuscript Published on 04 March 2019 | PP: 329-333 | Volume-7 Issue-5S2 January 2019 | Retrieval Number: ES2057017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Our paper sincerely advocates a memetic algorithm to uncover authorship styles. For software forensics experts our proposed mechanism will greatly reduce the time, effort whenever a malicious job is done to break into a software system. We have considered three factors, namely the variable naming convention, usage of comment styles. We have considered three factors, namely the variable naming convention, usage of comment styles, usage of data structures. We observe that these 3 factors can greatly help to uncover authorship style of a pro-grammer thus saving us from further damage in this technologically dependant society.
Keywords: Software Forensics, Memetic, Authorship, Nearness Value, Genetic.
Scope of the Article: Software Engineering Methodologies