“Software Theft Detection for JavaScript programs based ondynamic birthmark extracted from runtime heap graph”
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3
Abstract
Abstract: Software’s, programs are valuable assets to developer companies. However, the source code ofprograms can be theft and JavaScript programs whose code is easily available which is a serious threat to theindustry. There are techniques like watermarking which prove the ownership of the program but it can bedefaced and encryption which changes source code but it may decrypted and also it cannot avoid the sourcecode being copied. In this paper, we use a new technique, software birthmark, to help detect code theft ofsoftware or program. A birthmark is a unique characteristic of a program which is used to identify the program.We extract the birthmark of software from the run-time heap by using frequent sub graph mining and search thesame in suspected program.
Authors and Affiliations
Mr. Somanath Janardan Salunkhe , Prof. Umesh Laxman Kulkarni
Keywords
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