🗣️ 研究概要

Software birthmarking detects plagiarism through characteristic program features, yet cross-platform resilience remains under-evaluated. This paper proposes a unified birthmarking approach for real-world binaries by lifting disparate formats into a common intermediate representation via Ghidra P-code. Experiments across diverse platforms and languages show exceptional consistency across CPU architectures ($r=0.9846$), independent of ISA (Instruction Set Architecture) specific details. The study also observes a ``dilution effect’’ that degrades similarity scores for Windows binaries, which we attribute to the proliferation of library-derived functions. Despite this noise, the Simpson index shows superior discriminative power. These findings clarify the practical capabilities and essential requirements for robust cross-platform birthmarking.

(Haruaki Tamada, ‘‘Cross-Platform Software Birthmarking for Real-World Binaries via Intermediate Representation’’, Proc. 34th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2026), August 2026, Abstract)

📚 業績

    


    🔍 関連する研究トピック・助成