{"id":"https://openalex.org/W3047201250","doi":"https://doi.org/10.1145/3405962.3405980","title":"A Novel Dataset for Fake Android Anti-Malware Detection","display_name":"A Novel Dataset for Fake Android Anti-Malware Detection","publication_year":2020,"publication_date":"2020-06-30","ids":{"openalex":"https://openalex.org/W3047201250","doi":"https://doi.org/10.1145/3405962.3405980","mag":"3047201250"},"language":"en","primary_location":{"id":"doi:10.1145/3405962.3405980","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3405962.3405980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.brighton.ac.uk/en/publications/13d67dd8-0545-4c0f-8479-facfa7c4c984","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061800451","display_name":"Saeed Seraj","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154044","display_name":"Islamic Azad University Shahr-e-Rey","ror":"https://ror.org/04yrwqa21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210154044"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Saeed Seraj","raw_affiliation_strings":["Department of Computer Engineering Yadegar-e-Imam Khomeini (RAH), Shahre Rey Branch, Islamic Azad University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering Yadegar-e-Imam Khomeini (RAH), Shahre Rey Branch, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I4210154044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012632514","display_name":"Michalis Pavlidis","orcid":"https://orcid.org/0000-0001-9135-2340"},"institutions":[{"id":"https://openalex.org/I71637028","display_name":"University of Brighton","ror":"https://ror.org/04kp2b655","country_code":"GB","type":"education","lineage":["https://openalex.org/I71637028"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michalis Pavlidis","raw_affiliation_strings":["School of Computing, Engineering and Mathematics, University of Brighton, Brighton, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Mathematics, University of Brighton, Brighton, United Kingdom","institution_ids":["https://openalex.org/I71637028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057646974","display_name":"Nikolaos Polatidis","orcid":"https://orcid.org/0000-0003-4249-4953"},"institutions":[{"id":"https://openalex.org/I71637028","display_name":"University of Brighton","ror":"https://ror.org/04kp2b655","country_code":"GB","type":"education","lineage":["https://openalex.org/I71637028"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nikolaos Polatidis","raw_affiliation_strings":["School of Computing, Engineering and Mathematics, University of Brighton, Brighton, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Mathematics, University of Brighton, Brighton, United Kingdom","institution_ids":["https://openalex.org/I71637028"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0840073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"205","last_page":"209"},"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":0.9944000244140625,"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":0.9882000088691711,"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":0.9433503746986389},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.822007417678833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8056423664093018},{"id":"https://openalex.org/keywords/android-malware","display_name":"Android malware","score":0.733892560005188},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.7276670932769775},{"id":"https://openalex.org/keywords/mobile-malware","display_name":"Mobile malware","score":0.5685070753097534},{"id":"https://openalex.org/keywords/cryptovirology","display_name":"Cryptovirology","score":0.5391396284103394},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.489670068025589},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4895063638687134},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4663592576980591},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38136377930641174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3541300296783447},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28923189640045166},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1757510006427765}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.9433503746986389},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.822007417678833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8056423664093018},{"id":"https://openalex.org/C2989133298","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android malware","level":3,"score":0.733892560005188},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.7276670932769775},{"id":"https://openalex.org/C2780967490","wikidata":"https://www.wikidata.org/wiki/Q1291200","display_name":"Mobile malware","level":3,"score":0.5685070753097534},{"id":"https://openalex.org/C84525096","wikidata":"https://www.wikidata.org/wiki/Q3506050","display_name":"Cryptovirology","level":3,"score":0.5391396284103394},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.489670068025589},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4895063638687134},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4663592576980591},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38136377930641174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3541300296783447},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28923189640045166},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1757510006427765},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3405962.3405980","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3405962.3405980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/13d67dd8-0545-4c0f-8479-facfa7c4c984","is_oa":true,"landing_page_url":"https://research.brighton.ac.uk/en/publications/13d67dd8-0545-4c0f-8479-facfa7c4c984","pdf_url":null,"source":{"id":"https://openalex.org/S4306401758","display_name":"University of Brighton Repository (University of Brighton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71637028","host_organization_name":"University of Brighton","host_organization_lineage":["https://openalex.org/I71637028"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Seraj, S, Pavlidis, M & Polatidis, N 2020, A novel dataset for fake android anti-malware detection. in 10th International Conference on Web Intelligence, Mining and Semantics. ACM, New York, pp. 205-209, 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, 30/06/20. https://doi.org/10.1145/3405962.3405980","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/13d67dd8-0545-4c0f-8479-facfa7c4c984","is_oa":true,"landing_page_url":"https://research.brighton.ac.uk/en/publications/13d67dd8-0545-4c0f-8479-facfa7c4c984","pdf_url":null,"source":{"id":"https://openalex.org/S4306401758","display_name":"University of Brighton Repository (University of Brighton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71637028","host_organization_name":"University of Brighton","host_organization_lineage":["https://openalex.org/I71637028"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Seraj, S, Pavlidis, M & Polatidis, N 2020, A novel dataset for fake android anti-malware detection. in 10th International Conference on Web Intelligence, Mining and Semantics. ACM, New York, pp. 205-209, 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, 30/06/20. https://doi.org/10.1145/3405962.3405980","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2554111100","https://openalex.org/W2781346976","https://openalex.org/W2784097977","https://openalex.org/W2786416059","https://openalex.org/W2792310543","https://openalex.org/W2795452229","https://openalex.org/W2798553277","https://openalex.org/W2802731096","https://openalex.org/W2810603429","https://openalex.org/W2897288043","https://openalex.org/W2963204406","https://openalex.org/W2986232939","https://openalex.org/W2996442553","https://openalex.org/W3015997864"],"related_works":["https://openalex.org/W3195312353","https://openalex.org/W4383468964","https://openalex.org/W3200508744","https://openalex.org/W4200054778","https://openalex.org/W2717179875","https://openalex.org/W4249118297","https://openalex.org/W3199551743","https://openalex.org/W2311926078","https://openalex.org/W2782775281","https://openalex.org/W4312234627"],"abstract_inverted_index":{"Today":[0],"in":[1,72,82],"the":[2,16,23,42,51],"world":[3],"people":[4],"are":[5,37],"able":[6],"to":[7],"get":[8],"all":[9],"types":[10],"of":[11,28,35,44,56,62,111],"Android":[12],"applications":[13],"(apps)":[14],"from":[15,69,90],"app":[17],"store":[18],"or":[19,78],"various":[20,73,102,118],"sources":[21],"over":[22,117],"Internet.":[24],"A":[25],"large":[26],"number":[27,55,61],"apps":[29],"is":[30,48,125],"being":[31],"produced":[32],"daily,":[33],"some":[34],"which":[36,113],"infected":[38],"with":[39],"malware.":[40],"Thus,":[41],"use":[43],"anti-malware":[45,92,97],"identification":[46],"tools":[47],"essential.":[49],"At":[50],"same":[52],"time,":[53],"a":[54,60,87,109],"attackers":[57],"who":[58],"exploit":[59],"anti-malwares":[63],"have":[64],"been":[65],"doing":[66],"obtaining":[67],"information":[68],"mobile":[70],"phones":[71],"ways,":[74],"such":[75],"as":[76],"decompiling":[77],"infecting":[79],"anti-malware.":[80],"Therefore,":[81],"this":[83],"paper,":[84],"we":[85,100,107],"developed":[86],"classification":[88],"dataset":[89],"collected":[91],"data":[93],"looking":[94],"for":[95],"fraudulent":[96],"products.":[98],"Additionally,":[99],"applied":[101],"machine":[103],"learning":[104],"algorithms":[105,112],"and":[106,128],"propose":[108],"combination":[110],"provides":[114],"high":[115],"accuracy":[116],"evaluation":[119],"tests,":[120],"showing":[121],"that":[122],"our":[123],"approach":[124],"both":[126],"practical":[127],"effective.":[129]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}