Matches in SemOpenAlex for { <https://semopenalex.org/work/W4362499589> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4362499589 endingPage "103" @default.
- W4362499589 startingPage "85" @default.
- W4362499589 abstract "Vulnerabilities in software are like ticking time bombs, but it is difficult to completely eliminate them. For example, buffer overflow is a quite common vulnerability that occurs when a program receives too much data that can corrupt nearby space in memory and manipulate other data for malicious actions. To detect potential vulnerabilities in source code, we consider the code as multisource data by extracting semantically meaningful sub-graphs: Abstract Syntax Tree Graph (ASTG) and Tokenized Data Flow Graph (TDFG). We combine these with the original sequence of tokens and 49 heuristic features to train and leverage a multimodal deep learning network to detect vulnerable statements. We propose a Multisource Deep Learner (MDL) with joint representations based on the pretrained attention-based Bidirectional Gated Recurrent Unit (BGRU) neural networks for vulnerability detection in source code. Our framework not only detects potential vulnerabilities but also locates and ranks the vulnerable statements according to their importance based on the Program Dependence Graph (PDG). Our results show that an MDL-based model using multiple modalities is significantly better than a single modality based model. We also present comparisons with state-of-the-art methods." @default.
- W4362499589 created "2023-04-05" @default.
- W4362499589 creator A5050592031 @default.
- W4362499589 creator A5054031217 @default.
- W4362499589 date "2023-01-01" @default.
- W4362499589 modified "2023-10-09" @default.
- W4362499589 title "Software Vulnerability Detection via Multimodal Deep Learning" @default.
- W4362499589 cites W1992114977 @default.
- W4362499589 cites W2070515606 @default.
- W4362499589 cites W2092317965 @default.
- W4362499589 cites W2131774270 @default.
- W4362499589 cites W2144344516 @default.
- W4362499589 cites W2156222070 @default.
- W4362499589 cites W2293624369 @default.
- W4362499589 cites W2792256830 @default.
- W4362499589 cites W2956062508 @default.
- W4362499589 cites W2962960733 @default.
- W4362499589 cites W2963940534 @default.
- W4362499589 cites W2964150020 @default.
- W4362499589 cites W3023013190 @default.
- W4362499589 cites W3084034552 @default.
- W4362499589 cites W3093836381 @default.
- W4362499589 cites W3127736190 @default.
- W4362499589 cites W3161938055 @default.
- W4362499589 cites W3194346579 @default.
- W4362499589 cites W4211007328 @default.
- W4362499589 cites W4242978449 @default.
- W4362499589 cites W4281386687 @default.
- W4362499589 cites W771469340 @default.
- W4362499589 doi "https://doi.org/10.1007/978-3-031-29504-1_5" @default.
- W4362499589 hasPublicationYear "2023" @default.
- W4362499589 type Work @default.
- W4362499589 citedByCount "0" @default.
- W4362499589 crossrefType "book-chapter" @default.
- W4362499589 hasAuthorship W4362499589A5050592031 @default.
- W4362499589 hasAuthorship W4362499589A5054031217 @default.
- W4362499589 hasConcept C108583219 @default.
- W4362499589 hasConcept C119857082 @default.
- W4362499589 hasConcept C132525143 @default.
- W4362499589 hasConcept C153083717 @default.
- W4362499589 hasConcept C154945302 @default.
- W4362499589 hasConcept C177264268 @default.
- W4362499589 hasConcept C199360897 @default.
- W4362499589 hasConcept C2776760102 @default.
- W4362499589 hasConcept C2777904410 @default.
- W4362499589 hasConcept C38652104 @default.
- W4362499589 hasConcept C41008148 @default.
- W4362499589 hasConcept C43126263 @default.
- W4362499589 hasConcept C58646249 @default.
- W4362499589 hasConcept C60048249 @default.
- W4362499589 hasConcept C80444323 @default.
- W4362499589 hasConcept C95713431 @default.
- W4362499589 hasConceptScore W4362499589C108583219 @default.
- W4362499589 hasConceptScore W4362499589C119857082 @default.
- W4362499589 hasConceptScore W4362499589C132525143 @default.
- W4362499589 hasConceptScore W4362499589C153083717 @default.
- W4362499589 hasConceptScore W4362499589C154945302 @default.
- W4362499589 hasConceptScore W4362499589C177264268 @default.
- W4362499589 hasConceptScore W4362499589C199360897 @default.
- W4362499589 hasConceptScore W4362499589C2776760102 @default.
- W4362499589 hasConceptScore W4362499589C2777904410 @default.
- W4362499589 hasConceptScore W4362499589C38652104 @default.
- W4362499589 hasConceptScore W4362499589C41008148 @default.
- W4362499589 hasConceptScore W4362499589C43126263 @default.
- W4362499589 hasConceptScore W4362499589C58646249 @default.
- W4362499589 hasConceptScore W4362499589C60048249 @default.
- W4362499589 hasConceptScore W4362499589C80444323 @default.
- W4362499589 hasConceptScore W4362499589C95713431 @default.
- W4362499589 hasLocation W43624995891 @default.
- W4362499589 hasOpenAccess W4362499589 @default.
- W4362499589 hasPrimaryLocation W43624995891 @default.
- W4362499589 hasRelatedWork W2898751332 @default.
- W4362499589 hasRelatedWork W3014300295 @default.
- W4362499589 hasRelatedWork W3164822677 @default.
- W4362499589 hasRelatedWork W3215138031 @default.
- W4362499589 hasRelatedWork W4223943233 @default.
- W4362499589 hasRelatedWork W4225161397 @default.
- W4362499589 hasRelatedWork W4250304930 @default.
- W4362499589 hasRelatedWork W4309045103 @default.
- W4362499589 hasRelatedWork W4312200629 @default.
- W4362499589 hasRelatedWork W4360585206 @default.
- W4362499589 isParatext "false" @default.
- W4362499589 isRetracted "false" @default.
- W4362499589 workType "book-chapter" @default.