{"id":"https://openalex.org/W4410771654","doi":"https://doi.org/10.1145/3727353.3727471","title":"A Vulnerability Detection Framework Based on Graph Decomposition Fusion and Augmented Abstract Syntax Tree","display_name":"A Vulnerability Detection Framework Based on Graph Decomposition Fusion and Augmented Abstract Syntax Tree","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4410771654","doi":"https://doi.org/10.1145/3727353.3727471"},"language":"en","primary_location":{"id":"doi:10.1145/3727353.3727471","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727471","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727471","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727471","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043165587","display_name":"Yalong Yu","orcid":"https://orcid.org/0009-0001-0406-7806"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yalong Yu","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0001-0406-7806","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101611537","display_name":"Cheng Zhang","orcid":"https://orcid.org/0000-0001-6144-8931"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0001-6144-8931","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":3.8492,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92144977,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"734","last_page":"738"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7409578561782837},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.5678757429122925},{"id":"https://openalex.org/keywords/abstract-syntax-tree","display_name":"Abstract syntax tree","score":0.52633136510849},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5067282319068909},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4893733859062195},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4653424024581909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3737668991088867},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28291577100753784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14899367094039917},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.051963210105895996}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7409578561782837},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5678757429122925},{"id":"https://openalex.org/C58646249","wikidata":"https://www.wikidata.org/wiki/Q127380","display_name":"Abstract syntax tree","level":3,"score":0.52633136510849},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5067282319068909},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4893733859062195},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4653424024581909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3737668991088867},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28291577100753784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14899367094039917},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.051963210105895996},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3727353.3727471","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727471","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727471","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3727353.3727471","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727471","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727471","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410771654.pdf","grobid_xml":"https://content.openalex.org/works/W4410771654.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2885030880","https://openalex.org/W2911282308","https://openalex.org/W3008088841","https://openalex.org/W3098605233","https://openalex.org/W3101228802","https://openalex.org/W3161071537","https://openalex.org/W3166095789","https://openalex.org/W4284667406","https://openalex.org/W4380763529","https://openalex.org/W4384345641","https://openalex.org/W4384347367"],"related_works":["https://openalex.org/W2077104824","https://openalex.org/W4294658953","https://openalex.org/W2536864162","https://openalex.org/W2390421503","https://openalex.org/W2364428493","https://openalex.org/W4400066978","https://openalex.org/W44541701","https://openalex.org/W2387926336","https://openalex.org/W2385522099","https://openalex.org/W2354135050"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,16,19,22,74,99,132,140,143,153,157,164,204],"method":[2],"of":[3,15,21,96,112],"using":[4],"deep":[5,81],"learning":[6,31,82],"models":[7],"for":[8,196],"vulnerability":[9,44,107,217],"detection":[10],"is":[11,136,150,200],"widely":[12],"applied.":[13],"Most":[14],"methods":[17,32,38,67,83],"convert":[18,84],"code":[20,85,87,135],"program":[23,182],"into":[24,86],"a":[25,94,110,160],"graph,":[26],"and":[27,125,142,155,167,181,189,194,211,214],"then":[28,156],"use":[29,120,126],"graph":[30,89,161,179,184,205],"to":[33,51,72,102,106,138,170,202],"get":[34],"features.":[35,173,197],"Although":[36],"these":[37,117,190],"have":[39],"shown":[40],"good":[41],"accuracy":[42],"in":[43],"detection,":[45],"there":[46],"are":[47,192],"still":[48],"some":[49,70],"issues":[50],"be":[52],"addressed:":[53],"(1)":[54],"When":[55],"dealing":[56],"with":[57],"large":[58],"scale":[59],"functions":[60],"or":[61],"long":[62],"codes,":[63],"graph-based":[64],"feature":[65],"extraction":[66],"will":[68],"discard":[69],"features":[71,206],"meet":[73],"model":[75,100],"input":[76,133],"length":[77],"limit.":[78],"(2)":[79],"Many":[80],"property":[88],"(CPG).":[90],"Since":[91],"CPG":[92],"contains":[93],"lot":[95,111],"function":[97],"information,":[98],"needs":[101],"extract":[103,171],"information":[104],"related":[105],"characteristics":[108],"from":[109,152,187,208],"irrelevant":[113],"information.":[114],"To":[115],"mitigate":[116],"issues,":[118],"we":[119],"CPG's":[121],"composite":[122],"view":[123,175,210],"approach":[124],"augmented":[127,165],"abstract":[128,144],"syntax":[129,145],"trees.":[130],"Specifically,":[131],"source":[134],"used":[137,201],"build":[139],"CPG,":[141,154,188],"tree":[146,209],"AST":[147,158,166],"(tree":[148],"view)":[149],"decomposed":[151],"constructs":[159],"based":[162],"on":[163],"uses":[168],"GraphCodeBERT":[169],"its":[172],"Flow":[174],"includes":[176],"control":[177],"flow":[178,212],"(CFG)":[180],"dependency":[183],"(PDG)":[185],"extracted":[186,193],"graphs":[191],"fused":[195],"Finally,":[198],"CNN":[199],"fuse":[203],"obtained":[207],"view,":[213],"finally":[215],"perform":[216],"classification":[218],"detection.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
