Petke, J;
(2016)
Genetic Improvement for Code Obfuscation.
In: Friedrich, T, (ed.)
Proceeding GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 1135-1136).
ACM: New York, NY, USA.
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Abstract
Genetic improvement (GI) is a relatively new area of software engineering and thus the extent of its applicability is yet to be explored. Although a growing interest in GI in recent years started with the work on automatic bug fixing, the area flourished when results on optimisation of non-functional software properties, such as efficiency and energy consumption, were published. Further success of GI in transplanting functionality from one program to another leads to a question: what other software engineering areas can benefit from the use of genetic improvement techniques? We propose to utilise GI for code obfuscation.
| Type: | Proceedings paper |
|---|---|
| Title: | Genetic Improvement for Code Obfuscation |
| Event: | GECCO '16 (Genetic and Evolutionary Computation Conference) |
| Location: | Denver, CO |
| Dates: | 20 July 2016 - 24 July 2016 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/2908961.2931689 |
| Publisher version: | https://doi.org/10.1145/2908961.2931689 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Computer Science, Engineering, Genetic Improvement, Code Obfuscation, Software Optimisation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1524814 |
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