k-gram based software birthmarks
Software birthmarking relies on unique characteristics that are inherent to a program to identify the program in the event of suspected theft. In this paper we present and empirically evaluate a novel birthmarking technique which uniquely identifies a program through instruction sequences. To evaluate the strength of the birthmarking technique we examine two properties: credibility and resilience to semantics-preserving transformations. We show that the technique provides both high credibility and resilience. Additionally, it complements previously proposed static birthmarking techniques.
software software birthmarking event paper evaluation instruction sequence credibility resilience legal aspects semantic software theft detection