Figure feature bidirectional fusion embedding-based firmware vulnerability similarity detection method
The invention relates to a firmware vulnerability similarity detection method based on graph feature bidirectional fusion embedding, and the method specifically comprises the steps: extracting a firmware function control flow graph: carrying out the disassembly of a firmware function through a relat...
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| creator | LIN CHENGYI HUANG FEIYANG WANG SHENGWEI LIN XIN CHEN LIANGYIN NIU YI REN YI ZHANG YUANYUAN FENG KANGHUI LIU JUNCAI |
| description | The invention relates to a firmware vulnerability similarity detection method based on graph feature bidirectional fusion embedding, and the method specifically comprises the steps: extracting a firmware function control flow graph: carrying out the disassembly of a firmware function through a related tool, namely IDA Pro, extracting the control flow graph, and carrying out the instruction feature conversion of each statement, performing instruction statement feature vector conversion: performing context influence extraction on instruction statement vectors through an attention mechanism, performing basic block feature fusion by mixing with LSTM, and performing graph embedding feature vector extraction: performing vector fusion on firmware function features by using a graph embedding network; and similarity detection is carried out through the Siamese network to judge whether known vulnerabilities exist or not. According to the invention, the vulnerability similarity detection precision can be improved.
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本发明涉及</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Figure feature bidirectional fusion embedding-based firmware vulnerability similarity detection method |
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