Obfuscation-Resilient Software Plagiarism Detection with JPlag

The rise of automated obfuscation techniques challenges the wide-spread assumption that evading a software plagiarism detector requires more effort than completing programming and modeling assignments in computer science education. This threatens pla-giarism detectors without comprehensive obfuscation resilience and, ultimately, academic integrity. This paper summarizes recent enhancements of JPlag, a widely-used software plagiarism detector, enabling it to achieve broad resilience against automated obfuscation. The findings demonstrate that JPlag significantly outperforms the state-of-the-art in terms of obfuscation resilience.