Code Signature

Code signature analysis focuses on identifying and verifying the authorship or authenticity of code, whether it's handwritten signatures or digital code in software. Current research explores methods for verifying signatures even without reference samples, using techniques like similarity scoring matrices and feature-distance comparisons, and improving the accuracy of machine learning models by incorporating semantic information about code structure and relationships. This work is crucial for enhancing security against malicious code and improving the reliability of software systems, as well as for advancing knowledge graph embedding models used in various data analysis tasks.