{"id":"https://openalex.org/W2980678038","doi":"https://doi.org/10.1109/access.2019.2948374","title":"Malware Detection via Extended Label Propagation Through Graph Inference","display_name":"Malware Detection via Extended Label Propagation Through Graph Inference","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2980678038","doi":"https://doi.org/10.1109/access.2019.2948374","mag":"2980678038"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2948374","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948374","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876850.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876850.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010997726","display_name":"Yitu Fu","orcid":"https://orcid.org/0000-0003-3518-3188"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yitu Fu","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3518-3188","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101535308","display_name":"Ju Xu","orcid":"https://orcid.org/0000-0002-4645-8995"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Xu","raw_affiliation_strings":["School of Economics and Management, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010997726"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3717,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65656357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"157830","last_page":"157840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9991999864578247,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9984999895095825,"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/malware","display_name":"Malware","score":0.8295823335647583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8163260221481323},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.666357696056366},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5979688167572021},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5616071820259094},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.4182930886745453},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4140084981918335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2849145531654358},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2530246675014496}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.8295823335647583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8163260221481323},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.666357696056366},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5979688167572021},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5616071820259094},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.4182930886745453},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4140084981918335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2849145531654358},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2530246675014496},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2948374","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948374","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876850.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0054ff0b59ea40e7afb65f45786a48fc","is_oa":true,"landing_page_url":"https://doaj.org/article/0054ff0b59ea40e7afb65f45786a48fc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 157830-157840 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2948374","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948374","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876850.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2980678038.pdf","grobid_xml":"https://content.openalex.org/works/W2980678038.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W58093798","https://openalex.org/W77115792","https://openalex.org/W97539848","https://openalex.org/W200681053","https://openalex.org/W1031682440","https://openalex.org/W1586252162","https://openalex.org/W1650881334","https://openalex.org/W1845137714","https://openalex.org/W1854214752","https://openalex.org/W1965662749","https://openalex.org/W1969198379","https://openalex.org/W1969381345","https://openalex.org/W1983776999","https://openalex.org/W1989335842","https://openalex.org/W1993370323","https://openalex.org/W2035331133","https://openalex.org/W2040424958","https://openalex.org/W2053186076","https://openalex.org/W2085588453","https://openalex.org/W2113592823","https://openalex.org/W2138621811","https://openalex.org/W2139823104","https://openalex.org/W2154455818","https://openalex.org/W2162758311","https://openalex.org/W2166128942","https://openalex.org/W2186088793","https://openalex.org/W2228075399","https://openalex.org/W2281432765","https://openalex.org/W2293923001","https://openalex.org/W2396034850","https://openalex.org/W2397211345","https://openalex.org/W2400462880","https://openalex.org/W2482374127","https://openalex.org/W2612726345","https://openalex.org/W2800292742","https://openalex.org/W6602389413","https://openalex.org/W6603163060","https://openalex.org/W6603957951","https://openalex.org/W6608206699","https://openalex.org/W6635086389","https://openalex.org/W6636713437","https://openalex.org/W6639055396","https://openalex.org/W6676772307","https://openalex.org/W6680434193","https://openalex.org/W6682494755","https://openalex.org/W6695759461","https://openalex.org/W6750968397"],"related_works":["https://openalex.org/W2097492617","https://openalex.org/W2753240997","https://openalex.org/W1764168690","https://openalex.org/W2537959205","https://openalex.org/W2740895074","https://openalex.org/W2772446090","https://openalex.org/W3152891574","https://openalex.org/W4300477075","https://openalex.org/W4297778748","https://openalex.org/W3180766726"],"abstract_inverted_index":{"In":[0],"this":[1,117],"paper,":[2],"we":[3,43,71,93,120,143,167],"model":[4,134],"the":[5,57,67,89,98,108,111,131,136,156,163,175],"malware":[6],"detection":[7],"problem":[8],"as":[9],"a":[10,16,22,45,73,122,169,182,187],"graph":[11,47],"inference":[12],"problem,":[13],"and":[14,32,52],"develop":[15,72,121],"novel":[17],"belief":[18],"propagation":[19,109,118,152],"approach":[20],"within":[21],"semi-supervised":[23],"learning":[24],"scheme":[25],"that":[26,48,60,127,173],"fully":[27],"makes":[28],"use":[29],"of":[30,83,100,124,139,159,171,177,184],"files'":[31,50],"hosts'":[33],"connections":[34],"to":[35,76,102,110],"detect":[36],"malware.":[37],"Specifically,":[38],"with":[39],"network":[40],"download":[41,140],"data,":[42],"build":[44],"large":[46],"depicts":[49],"co-occurrence":[51,69],"files-hosts":[53],"relationship.":[54],"Different":[55],"from":[56,135],"classical":[58],"methods":[59],"heuristically":[61],"define":[62],"edge":[63],"weights":[64],"only":[65],"in":[66,97,162,181],"file":[68,84],"graph,":[70],"new":[74,179],"method":[75,153,180],"integrate":[77],"homophilic":[78],"host-file":[79],"relationship":[80],"on":[81,186],"top":[82],"co-occurrences.":[85],"Then,":[86],"by":[87],"using":[88],"linear":[90,132],"neighborhood":[91,133],"model,":[92],"first":[94],"perform":[95,168],"propagations":[96],"subgraph":[99],"files":[101],"achieve":[103],"their":[104],"stabilization,":[105],"then":[106],"extend":[107],"complete":[112,164],"file-host":[113],"graph.":[114,165],"To":[115],"facilitate":[116],"procedure,":[119],"set":[123,170],"algorithmic":[125],"tools":[126],"extract":[128],"information":[129],"for":[130],"link":[137],"structure":[138],"events.":[141],"Also,":[142],"theoretically":[144],"show":[145],"that,":[146],"under":[147],"some":[148],"mild":[149],"conditions,":[150],"our":[151,178],"could":[154],"reveal":[155],"actual":[157],"labels":[158],"unlabeled":[160],"nodes":[161],"Finally,":[166],"experiments":[172],"demonstrate":[174],"effectiveness":[176],"variety":[183],"contexts":[185],"real-world":[188],"dataset.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}