Software Theft Detection for JavaScript Programs Based on Dynamic Birthmark Extracted from Runtime Heap Graph

Software-s, programs are valuable assets to developer companies. However, the source code of programs can be theft and JavaScript programs whose code is easily available which is a serious threat to the industry. There are techniques like watermarking which prove the ownership of the program but it can be defaced and encryption which changes source code but it may decrypted and also it cannot avoid the source code being copied. In this paper, we use a new technique, software birthmark, to help detect code theft of software 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 the same in suspected program.