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This project provides two components of Genius, a graph-based bug search framework. The first component is the raw feature extraction. The second is the online bug search engine.
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1. The raw feature extraction is designed to achieve following two goals:
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-> Extract the control flow graph for each binary function
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-> Extract the attributes for each node in the grap
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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.
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2. The online bug search engine is used for real-time search:
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-> It utilized localality sensitive hashing for indexing
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-> Nearest-neighbor search algorithm for search
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The online search is based on nearpy (https://github.com/pixelogik/NearPy).
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