Similarity-based matching meets Malware Diversity

Autor: Payer, Mathias, Crane, Stephen, Larsen, Per, Brunthaler, Stefan, Wartell, Richard, Franz, Michael

Similarity metrics, e.g., signatures as used by anti-virus products, are the dominant technique to detect if a given binary is malware. The underlying assumption of this approach is that all instances of a malware (or even malware family) will be sim

Externí odkaz: http://arxiv.org/abs/1409.7760

Shingled Graph Disassembly: Finding the Undecideable Path.

Autor: Wartell, Richard, Zhou, Yan, Hamlen, Kevin W., Kantarcioglu, Murat

Publikováno v: Advances in Knowledge Discovery & Data Mining: 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I; 2014, p273-285, 13p