{"id":"https://openalex.org/W7164945016","doi":"https://doi.org/10.48550/arxiv.2606.16072","title":"MASCOT-Android: A Curated Dataset and Automated Collection Pipeline for Android Malware Source Code Specimens","display_name":"MASCOT-Android: A Curated Dataset and Automated Collection Pipeline for Android Malware Source Code Specimens","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7164945016","doi":"https://doi.org/10.48550/arxiv.2606.16072"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.16072","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16072","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.16072","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138746580","display_name":"Bojing Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Bojing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124978460","display_name":"Duo Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong, Duo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064571120","display_name":"Prajna Bhandary","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhandary, Prajna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138541971","display_name":"Raguvir S","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S, Raguvir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138500542","display_name":"Charles Maxa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maxa, Charles","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008388322","display_name":"Robert J. Joyce","orcid":"https://orcid.org/0009-0003-7168-1237"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joyce, Robert J","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138720617","display_name":"Charles Nicholas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicholas, Charles","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":false,"cited_by_count":0,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9914000034332275,"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":0.9914000034332275,"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/T10260","display_name":"Software Engineering Research","score":0.003599999938160181,"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"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.0008999999845400453,"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":0.821399986743927},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.7598999738693237},{"id":"https://openalex.org/keywords/cryptovirology","display_name":"Cryptovirology","score":0.7014999985694885},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5321999788284302},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.4611000120639801},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4553999900817871},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.42820000648498535}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.821399986743927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069999814033508},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.7598999738693237},{"id":"https://openalex.org/C84525096","wikidata":"https://www.wikidata.org/wiki/Q3506050","display_name":"Cryptovirology","level":3,"score":0.7014999985694885},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5321999788284302},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.4611000120639801},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4553999900817871},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42820000648498535},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.4180000126361847},{"id":"https://openalex.org/C2779395397","wikidata":"https://www.wikidata.org/wiki/Q15731404","display_name":"Malware analysis","level":3,"score":0.3547999858856201},{"id":"https://openalex.org/C137287247","wikidata":"https://www.wikidata.org/wiki/Q1329550","display_name":"Static program analysis","level":4,"score":0.34940001368522644},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3481999933719635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3434000015258789},{"id":"https://openalex.org/C2779818221","wikidata":"https://www.wikidata.org/wiki/Q837330","display_name":"Bytecode","level":3,"score":0.32519999146461487},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.27799999713897705},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2590999901294708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.16072","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16072","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.16072","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16072","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6676334142684937,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Compared":[0],"with":[1],"binaries":[2],"and":[3,22,35,48,90,95,112,137],"decompiled":[4],"code,":[5],"malware":[6,45,55,77,89,102,144],"source":[7,20,46,56,78,145],"code":[8,21,47,57,79,146],"more":[9],"directly":[10],"reflects":[11],"the":[12,17,23,122,131],"attackers'":[13],"original":[14],"intent.":[15],"However,":[16],"scarcity":[18],"of":[19,26,43,64,110,115],"high":[24],"cost":[25],"manual":[27],"review":[28],"make":[29],"such":[30],"datasets":[31],"difficult":[32],"to":[33,100,129,134],"build":[34],"maintain.":[36],"We":[37],"propose":[38],"MASCOT-Android,":[39],"a":[40,73,97],"curated":[41],"dataset":[42],"Android":[44],"an":[49,108,113],"automated":[50],"collection":[51],"framework":[52],"for":[53,76],"scalable":[54],"discovery":[58],"on":[59],"GitHub.":[60],"A":[61],"key":[62],"finding":[63],"our":[65],"work":[66],"is":[67,140],"that":[68],"repository-level":[69],"documentation":[70],"alone":[71],"provides":[72],"strong":[74],"signal":[75],"collection.":[80,147],"Our":[81],"model":[82,106,123],"extracts":[83],"character-level":[84],"TF-IDF":[85],"features":[86],"from":[87],"8,772":[88],"25,747":[91],"benign":[92],"README":[93],"documents":[94],"trains":[96],"LinearSVC":[98],"classifier":[99],"distinguish":[101],"repositories.":[103],"This":[104],"README-only":[105],"achieves":[107],"accuracy":[109],"96.28\\%":[111],"FPR":[114,136],"1.06\\%":[116],"in":[117,142],"local":[118],"evaluation.":[119],"In":[120],"addition,":[121],"outputs":[124],"confidence":[125],"scores,":[126],"allowing":[127],"users":[128],"adjust":[130],"decision":[132],"threshold":[133],"balance":[135],"coverage,":[138],"which":[139],"practical":[141],"real-world":[143]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-17T00:00:00"}
