{"id":"https://openalex.org/W4390874831","doi":"https://doi.org/10.1109/gcaiot61060.2023.10385129","title":"A Deep Learning-based Approach for an Automated Vulnerability Detection in Source Code","display_name":"A Deep Learning-based Approach for an Automated Vulnerability Detection in Source Code","publication_year":2023,"publication_date":"2023-12-10","ids":{"openalex":"https://openalex.org/W4390874831","doi":"https://doi.org/10.1109/gcaiot61060.2023.10385129"},"language":"en","primary_location":{"id":"doi:10.1109/gcaiot61060.2023.10385129","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcaiot61060.2023.10385129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062057254","display_name":"Mohamad T. Sultan","orcid":"https://orcid.org/0000-0001-6867-0340"},"institutions":[{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Mohamad T. Sultan","raw_affiliation_strings":["United Arab Emirates University,College of Information Technology,Abu Dhabi,UAE","College of Information Technology, United Arab Emirates University, Abu Dhabi, UAE","Emirates Center for Mobility Research (ECMR), United Arab Emirates University, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"United Arab Emirates University,College of Information Technology,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I201726411"]},{"raw_affiliation_string":"College of Information Technology, United Arab Emirates University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I201726411"]},{"raw_affiliation_string":"Emirates Center for Mobility Research (ECMR), United Arab Emirates University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I201726411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051935448","display_name":"Hesham El Sayed","orcid":null},"institutions":[{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Hesham El Sayed","raw_affiliation_strings":["United Arab Emirates University,College of Information Technology,Abu Dhabi,UAE","College of Information Technology, United Arab Emirates University, Abu Dhabi, UAE","Emirates Center for Mobility Research (ECMR), United Arab Emirates University, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"United Arab Emirates University,College of Information Technology,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I201726411"]},{"raw_affiliation_string":"College of Information Technology, United Arab Emirates University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I201726411"]},{"raw_affiliation_string":"Emirates Center for Mobility Research (ECMR), United Arab Emirates University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I201726411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201726411"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9984999895095825,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.780662477016449},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5977745652198792},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5529147982597351},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.5296416282653809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4579000771045685},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41438037157058716},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.31062886118888855},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1912863850593567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.780662477016449},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5977745652198792},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5529147982597351},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.5296416282653809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4579000771045685},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41438037157058716},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.31062886118888855},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1912863850593567},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcaiot61060.2023.10385129","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcaiot61060.2023.10385129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2907778768","https://openalex.org/W2962960733","https://openalex.org/W3033777149","https://openalex.org/W3117923638","https://openalex.org/W3136874603","https://openalex.org/W3176913510","https://openalex.org/W3194450833","https://openalex.org/W3199080095","https://openalex.org/W3214973464","https://openalex.org/W4206172203","https://openalex.org/W4211016117","https://openalex.org/W4286282884","https://openalex.org/W4313029187","https://openalex.org/W4320015942","https://openalex.org/W4360996324","https://openalex.org/W4362709164","https://openalex.org/W4381741669"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W2095999892","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W3081644756"],"abstract_inverted_index":{"With":[0],"the":[1,20,83,184,191,204,207,235],"advancements":[2],"and":[3,16,30,45,158,197,229],"significant":[4],"increase":[5],"in":[6,49,79,108,132],"today\u2019s":[7],"software":[8,10,21,24],"projects,":[9],"vulnerabilities":[11,48,131],"have":[12,52,102,175],"become":[13,103],"a":[14,114,122,199,212],"crucial":[15],"serious":[17],"concern":[18],"to":[19,42,92,101,120],"industry.":[22],"These":[23],"defects":[25],"pose":[26],"familiar":[27],"cybersecurity":[28],"threats":[29],"identifying":[31],"potential":[32],"vulnerable":[33],"code":[34,51,77,95,141,172],"is":[35,63],"difficult":[36],"because":[37],"of":[38,75,82,130,169,193,206],"various":[39,220],"elements":[40],"related":[41],"volume,":[43],"diversity,":[44],"complexity.":[46],"Traditionally,":[47],"source":[50,76,94,133,140,171],"been":[53],"detected":[54],"either":[55],"statically":[56],"by":[57,150],"relying":[58],"on":[59,144],"expert":[60,148],"knowledge,":[61],"which":[62],"time":[64],"consuming,":[65],"or":[66],"through":[67,190],"dynamic":[68],"analysis":[69,125],"tools.":[70],"However,":[71],"lacking":[72],"robust":[73],"investigation":[74],"resulted":[78],"decreased":[80],"efficacy":[81],"existing":[84],"solutions.":[85],"In":[86],"this":[87,109],"respect,":[88],"as":[89,224],"an":[90,104,127],"alternative":[91],"traditional":[93],"detection":[96,143],"methods,":[97],"deep":[98,115,152,185],"learning":[99,153,186],"seems":[100],"attractive":[105],"solution.":[106],"Thus,":[107],"research":[110],"work,":[111],"we":[112,174,182,210],"propose":[113],"learning-based":[116],"neural":[117,155,160,187],"networks":[118,156,161],"approach":[119],"construct":[121],"function-level":[123],"vulnerability":[124,142,217],"for":[126],"automated":[128],"identification":[129],"code.":[134],"The":[135],"proposed":[136,208],"solution":[137],"can":[138],"handle":[139],"function":[145],"level":[146],"without":[147],"knowledge":[149],"utilizing":[151],"convolutional":[154],"(CNNs)":[157],"artificial":[159],"(ANNs).":[162],"To":[163,202],"generate":[164],"meaningful":[165],"numerical":[166],"feature":[167],"representation":[168],"input":[170],"functions,":[173],"generated":[176],"abstract":[177],"syntax":[178],"tree":[179],"(AST).":[180],"Moreover,":[181],"enhanced":[183],"network":[188],"models":[189,209],"selection":[192],"optimal":[194],"parameter":[195],"values":[196],"employing":[198],"validation":[200],"methodology.":[201],"evaluate":[203],"performance":[205,221],"used":[211],"public":[213],"dataset":[214],"with":[215],"verified":[216],"labels":[218],"using":[219,243],"metrics":[222],"such":[223],"Precision,":[225],"Accuracy,":[226],"F1-score,":[227],"Recall":[228],"ROC-AUC.":[230],"After":[231],"conducting":[232],"multiple":[233],"experiments,":[234],"best":[236],"result":[237],"(Accuracy":[238],"=":[239],"84.22%)":[240],"was":[241],"achieved":[242],"our":[244],"ANN":[245],"model.":[246]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
