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Qian Feng 2016-12-16 19:37:48 -05:00 committed by GitHub
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@ -2,11 +2,12 @@ This project provides two components of Genius, a graph-based bug search framewo
1. The raw feature extraction is designed to achieve following two goals: 1. The raw feature extraction is designed to achieve following two goals:
-> Extract the control flow graph for each binary function -> Extract the control flow graph for each binary function
-> Extract the attributes for each node in the graph -> Extract the attributes for each node in the grap
The feature extraction is built on top of IDA-pro. We wrote the scripts based on ida-python and extract the attributed control flow graph. The feature extraction is built on top of IDA-pro. We wrote the scripts based on ida-python and extract the attributed control flow graph.
2. The online bug search engine is used for real-time search: 2. The online bug search engine is used for real-time search:
-> It utilized localality sensitive hashing for indexing -> It utilized localality sensitive hashing for indexing
-> Nearest-neighbor search algorithm for search -> Nearest-neighbor search algorithm for search
The online search is based on nearpy (https://github.com/pixelogik/NearPy).