{"id":"https://openalex.org/W4401452499","doi":"https://doi.org/10.1109/tkde.2024.3436891","title":"A Dynamic Analysis-Powered Explanation Framework for Malware Detection","display_name":"A Dynamic Analysis-Powered Explanation Framework for Malware Detection","publication_year":2024,"publication_date":"2024-08-09","ids":{"openalex":"https://openalex.org/W4401452499","doi":"https://doi.org/10.1109/tkde.2024.3436891"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3436891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3436891","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","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/A5071855354","display_name":"Huijuan Zhu","orcid":"https://orcid.org/0000-0003-2751-2607"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huijuan Zhu","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027526566","display_name":"Xilong Chen","orcid":"https://orcid.org/0000-0003-1588-6564"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilong Chen","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017914641","display_name":"Liangmin Wang","orcid":"https://orcid.org/0000-0003-0048-5979"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangmin Wang","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088881491","display_name":"Zhicheng Xu","orcid":"https://orcid.org/0009-0001-2462-0162"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Xu","raw_affiliation_strings":["School of Mathematical Sciences, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051706630","display_name":"Victor S. Sheng","orcid":"https://orcid.org/0000-0003-4960-174X"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor S. Sheng","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, Lubbock, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071855354"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":null,"apc_paid":null,"fwci":2.1026,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8794631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"36","issue":"12","first_page":"7483","last_page":"7496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":1.0,"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":1.0,"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":0.9972000122070312,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9936000108718872,"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":0.8720941543579102},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.7748095989227295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7105224132537842},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.675758957862854},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5892016887664795},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.49834370613098145},{"id":"https://openalex.org/keywords/android-malware","display_name":"Android malware","score":0.4713396728038788},{"id":"https://openalex.org/keywords/static-analysis","display_name":"Static analysis","score":0.4160158634185791},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.22273516654968262},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09687802195549011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8720941543579102},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.7748095989227295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7105224132537842},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.675758957862854},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5892016887664795},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.49834370613098145},{"id":"https://openalex.org/C2989133298","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android malware","level":3,"score":0.4713396728038788},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.4160158634185791},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.22273516654968262},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09687802195549011}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3436891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3436891","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1325466753","display_name":null,"funder_award_id":"62372105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7034178397","display_name":null,"funder_award_id":"62272204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1990257170","https://openalex.org/W2166743230","https://openalex.org/W2516809705","https://openalex.org/W2788403449","https://openalex.org/W2795289301","https://openalex.org/W2806956262","https://openalex.org/W2890991187","https://openalex.org/W2900275727","https://openalex.org/W2905130735","https://openalex.org/W2944885779","https://openalex.org/W2962858109","https://openalex.org/W2964136807","https://openalex.org/W2968493742","https://openalex.org/W2974087340","https://openalex.org/W2998010923","https://openalex.org/W3010219363","https://openalex.org/W3021426193","https://openalex.org/W3083155189","https://openalex.org/W3112311055","https://openalex.org/W3125596609","https://openalex.org/W3133963303","https://openalex.org/W3134215180","https://openalex.org/W3138173041","https://openalex.org/W3145971023","https://openalex.org/W3161202781","https://openalex.org/W3165963211","https://openalex.org/W3199881745","https://openalex.org/W3200583622","https://openalex.org/W4200194343","https://openalex.org/W4205270295","https://openalex.org/W4205601502","https://openalex.org/W4212847133","https://openalex.org/W4226294137","https://openalex.org/W4250863246","https://openalex.org/W4282588521","https://openalex.org/W4283159491","https://openalex.org/W4283799668","https://openalex.org/W4284678688","https://openalex.org/W4293583991","https://openalex.org/W4312290548","https://openalex.org/W4313563606","https://openalex.org/W4313563659","https://openalex.org/W4313563733","https://openalex.org/W4360969865","https://openalex.org/W4384129390","https://openalex.org/W4385245566","https://openalex.org/W4386076285","https://openalex.org/W4388212247","https://openalex.org/W4391680357","https://openalex.org/W6714030514","https://openalex.org/W6737947904","https://openalex.org/W6751959524","https://openalex.org/W6752342186"],"related_works":["https://openalex.org/W2560361988","https://openalex.org/W2507113366","https://openalex.org/W2610659201","https://openalex.org/W3200508744","https://openalex.org/W3025122950","https://openalex.org/W2311926078","https://openalex.org/W2895504842","https://openalex.org/W2955731880","https://openalex.org/W2462192250","https://openalex.org/W4285507391"],"abstract_inverted_index":{"Deep":[0],"learning":[1,153,231],"has":[2],"been":[3],"widely":[4],"adopted":[5],"in":[6,15,33,112,245],"Android":[7],"malicious":[8],"software":[9],"(malware)":[10],"detection.":[11],"However,":[12],"poor":[13],"explanation":[14],"deep":[16,86,106,152,230,256],"learning-based":[17,87,107,257],"detection":[18,89,109,258],"models":[19,90,154,235],"severely":[20],"undermines":[21],"user":[22],"trusts":[23],"and":[24,71,130,173,191,203,206,215],"poses":[25],"a":[26,45,79,82,100,116,140,184],"significant":[27],"obstacle":[28],"to":[29,40,68,104,124,143,155,187],"their":[30,133,157],"practical":[31],"promotion":[32],"critical":[34,167],"security":[35,243],"domains.":[36],"Some":[37],"studies":[38,200],"strive":[39],"uncover":[41],"the":[42,55,162,165,189],"rationale":[43],"behind":[44],"model's":[46],"decision.":[47],"Unfortunately,":[48],"these":[49],"efforts":[50],"are":[51,149],"often":[52],"hindered":[53],"by":[54,255],"limitations":[56],"of":[57,75,128,164,193,225],"feature":[58],"extraction":[59],"methods,":[60],"such":[61],"as":[62,169,253],"primarily":[63],"relying":[64],"on":[65,183],"static":[66],"analysis":[67,118],"derive":[69],"separate":[70],"approximate":[72],"behavioral":[73],"descriptions":[74],"applications":[76],"(apps).":[77],"As":[78],"result,":[80],"establishing":[81],"reliable":[83],"interpretation":[84],"for":[85,151,177,229],"malware":[88,108,254],"remains":[91],"an":[92,170,249],"open":[93],"issue.":[94],"In":[95],"this":[96],"work,":[97],"we":[98,114,138,211],"propose":[99,139],"novel":[101,141],"framework":[102],"XDeepMal":[103,222],"interpret":[105],"models.":[110,259],"Specifically,":[111],"XDeepMal,":[113],"formulate":[115],"dynamic":[117],"tool":[119],"XTracer":[120],"<sup":[121],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[122],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">+</sup>":[123],"capture":[125],"runtime":[126],"behaviors":[127],"apps":[129],"automatically":[131],"generate":[132],"continuous":[134],"behavior":[135,146],"trajectories.":[136],"Then,":[137],"interpreter":[142],"pinpoint":[144],"certainty":[145],"fragments":[147,168],"that":[148,221],"crucial":[150],"make":[156],"decisions.":[158],"This":[159],"approach":[160],"regards":[161],"identification":[163],"most":[166],"optimization":[171],"problem":[172],"leverages":[174],"heuristic":[175],"algorithms":[176],"implementation.":[178],"We":[179],"conduct":[180],"extensive":[181],"experiments":[182,196],"real-world":[185],"dataset":[186],"investigate":[188],"effectiveness":[190],"reliability":[192],"XDeepMal.":[194],"These":[195],"cover":[197],"intuitive":[198],"case":[199],"(malware":[201],"family":[202],"individual":[204],"app)":[205],"in-depth":[207],"quantitative":[208],"analysis.":[209],"Additionally,":[210],"evaluate":[212],"its":[213],"coverage":[214],"efficiency.":[216],"Our":[217],"experimental":[218],"results":[219],"demonstrate":[220],"is":[223,251],"capable":[224],"generating":[226],"convincing":[227],"interpretations":[228],"(e.g.,":[232],"Transformer)":[233],"based":[234],"within":[236],"feasible":[237],"inference":[238],"time,":[239],"which":[240],"greatly":[241],"benefits":[242],"analysts":[244],"accurately":[246],"comprehending":[247],"why":[248],"app":[250],"identified":[252]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
