{"id":"https://openalex.org/W4392781021","doi":"https://doi.org/10.1145/3643796.3648464","title":"Detecting Security-Relevant Methods using Multi-label Machine Learning","display_name":"Detecting Security-Relevant Methods using Multi-label Machine Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392781021","doi":"https://doi.org/10.1145/3643796.3648464"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2403.07501","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.07501","pdf_url":"https://arxiv.org/pdf/2403.07501","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2403.07501","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054253440","display_name":"Oshando Johnson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johnson, Oshando","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077569016","display_name":"Goran Piskachev","orcid":"https://orcid.org/0000-0003-4424-5838"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Piskachev, Goran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035389880","display_name":"Ranjith Krishnamurthy","orcid":"https://orcid.org/0000-0002-0906-5463"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krishnamurthy, Ranjith","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5076678278","display_name":"Eric Bodden","orcid":"https://orcid.org/0000-0003-3470-3647"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bodden, Eric","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9004999995231628,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6374549269676208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5218502283096313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.504790186882019}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6374549269676208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5218502283096313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.504790186882019}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2403.07501","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.07501","pdf_url":"https://arxiv.org/pdf/2403.07501","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:null:publica/475533","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/475533","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2403.07501","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.07501","pdf_url":"https://arxiv.org/pdf/2403.07501","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392781021.pdf","grobid_xml":"https://content.openalex.org/works/W4392781021.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"To":[0],"detect":[1],"security":[2],"vulnerabilities,":[3],"static":[4,47,105,110,148],"analysis":[5,48,106,149],"tools":[6,49],"need":[7],"to":[8,43],"be":[9,68],"configured":[10],"with":[11],"security-relevant":[12,32,85],"methods.":[13,53],"Current":[14],"approaches":[15],"can":[16,66,100],"automatically":[17,101],"identify":[18],"such":[19],"methods":[20,86],"using":[21,50,87,147],"binary":[22],"relevance":[23],"machine":[24,90,124],"learning":[25,91,125],"approaches.":[26,133],"However,":[27],"they":[28],"ignore":[29],"dependencies":[30,95],"among":[31,96],"methods,":[33],"over-generalize":[34],"and":[35,59,71,112,138,146],"perform":[36],"poorly":[37],"in":[38,116],"practice.":[39],"Additionally,":[40],"users":[41,58],"have":[42],"nevertheless":[44],"manually":[45],"configure":[46],"the":[51,62,109,114,135,140],"detected":[52],"Based":[54],"on":[55],"feedback":[56],"from":[57],"our":[60],"observations,":[61],"excessive":[63],"manual":[64,141],"steps":[65],"often":[67],"tedious,":[69],"error-prone":[70],"counter-intuitive.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76],"present":[77],"Dev-Assist,":[78],"an":[79],"IntelliJ":[80,117],"IDEA":[81],"plugin":[82,99,136],"that":[83,93,122],"detects":[84],"a":[88,128],"multi-label":[89],"approach":[92,126],"considers":[94],"labels.":[97],"The":[98],"generate":[102],"configurations":[103],"for":[104],"tools,":[107],"run":[108],"analysis,":[111],"show":[113],"results":[115],"IDEA.":[118],"Our":[119],"experiments":[120],"reveal":[121],"Dev-Assist's":[123],"has":[127],"higher":[129],"F1-Measure":[130],"than":[131],"related":[132],"Moreover,":[134],"reduces":[137],"simplifies":[139],"effort":[142],"required":[143],"when":[144],"configuring":[145],"tools.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
