Measuring Similarity of Binary Programs using Hungarian Algorithm

Author(s): Yeongcheol Kim, Seokwoo Choi, Eun-Sun Cho

Download: Poster (PDF)

Date: 11 May 2017

Document Type: Presentations

Additional Documents: Paper

Associated Event: NDSS Symposium 2017

Abstract:

We introduce a similarity matrix based on n-grams and longest common sequences extracted from pairs of functions.  Devising an adapted Hungarian algorithm for such features, we envision to get reasonable results for similarity analysis on different versions of the same functions.