{"id":"https://openalex.org/W3117327367","doi":"https://doi.org/10.1109/uemcon51285.2020.9298079","title":"Using Deep Learning to Identify Security Risks of Personal Mobile Devices in Enterprise Networks","display_name":"Using Deep Learning to Identify Security Risks of Personal Mobile Devices in Enterprise Networks","publication_year":2020,"publication_date":"2020-10-28","ids":{"openalex":"https://openalex.org/W3117327367","doi":"https://doi.org/10.1109/uemcon51285.2020.9298079","mag":"3117327367"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon51285.2020.9298079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon51285.2020.9298079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","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/A5035321347","display_name":"Lanier Watkins","orcid":"https://orcid.org/0000-0002-3322-1833"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I4210138172","display_name":"Institute of Information Security","ror":"https://ror.org/03rmfrm44","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210138172"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Lanier Watkins","raw_affiliation_strings":["Johns Hopkins University Information Security Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University Information Security Institute","institution_ids":["https://openalex.org/I145311948","https://openalex.org/I4210138172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397991","display_name":"Yue Yu","orcid":"https://orcid.org/0000-0002-9865-2212"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I4210138172","display_name":"Institute of Information Security","ror":"https://ror.org/03rmfrm44","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210138172"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Yue Yu","raw_affiliation_strings":["Johns Hopkins University Information Security Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University Information Security Institute","institution_ids":["https://openalex.org/I145311948","https://openalex.org/I4210138172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102929525","display_name":"Sifan Li","orcid":"https://orcid.org/0009-0005-9954-8627"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I4210138172","display_name":"Institute of Information Security","ror":"https://ror.org/03rmfrm44","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210138172"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Sifan Li","raw_affiliation_strings":["Johns Hopkins University Information Security Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University Information Security Institute","institution_ids":["https://openalex.org/I145311948","https://openalex.org/I4210138172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106128999","display_name":"William H. Robinson","orcid":"https://orcid.org/0000-0001-9291-689X"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William H. Robinson","raw_affiliation_strings":["Vanderbilt University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111499449","display_name":"Aviel D. Rubin","orcid":"https://orcid.org/0000-0002-1061-8555"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I4210138172","display_name":"Institute of Information Security","ror":"https://ror.org/03rmfrm44","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210138172"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Aviel Rubin","raw_affiliation_strings":["Johns Hopkins University Information Security Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University Information Security Institute","institution_ids":["https://openalex.org/I145311948","https://openalex.org/I4210138172"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1643,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38730589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"0292","last_page":"0297"},"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":0.9994000196456909,"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/T10734","display_name":"Information and Cyber Security","score":0.9939000010490417,"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/bring-your-own-device","display_name":"Bring your own device","score":0.8249378204345703},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.7788984179496765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.741519570350647},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.7168875932693481},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6825231313705444},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5237612128257751},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.5090791583061218},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4686749577522278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3752191960811615},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3626202344894409},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14269313216209412}],"concepts":[{"id":"https://openalex.org/C2778282719","wikidata":"https://www.wikidata.org/wiki/Q917419","display_name":"Bring your own device","level":3,"score":0.8249378204345703},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.7788984179496765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741519570350647},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.7168875932693481},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6825231313705444},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5237612128257751},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.5090791583061218},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4686749577522278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3752191960811615},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3626202344894409},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14269313216209412},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon51285.2020.9298079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon51285.2020.9298079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2089765992","https://openalex.org/W2609225916","https://openalex.org/W2620844046","https://openalex.org/W2791265065","https://openalex.org/W2907236248","https://openalex.org/W2998961572","https://openalex.org/W3003626607"],"related_works":["https://openalex.org/W2097492617","https://openalex.org/W3005929145","https://openalex.org/W4289821226","https://openalex.org/W2753240997","https://openalex.org/W1132158502","https://openalex.org/W575373164","https://openalex.org/W2082871166","https://openalex.org/W2609603485","https://openalex.org/W2157102353","https://openalex.org/W3144358768"],"abstract_inverted_index":{"In":[0],"bring-your-own-device":[1],"(BYOD)":[2],"and":[3,15,81],"guest":[4],"wireless":[5],"networks,":[6],"the":[7,31,97],"use":[8],"of":[9,50,69,99,105],"mobile":[10],"devices":[11,56],"within":[12],"industry,":[13],"government,":[14],"academic":[16],"enterprise":[17,32],"networks":[18],"represents":[19],"a":[20,41,64],"difficult":[21],"security":[22],"challenge":[23],"for":[24,63],"system":[25],"administrators.":[26],"Devices":[27],"not":[28],"owned":[29],"by":[30],"can":[33],"pose":[34],"additional":[35],"risk.":[36],"Our":[37,67],"prior":[38,71],"research":[39],"demonstrated":[40],"dynamic":[42],"anomaly":[43],"detection":[44,98],"method":[45],"that":[46,90],"used":[47],"side-channel":[48],"analysis":[49],"ping":[51],"responses":[52],"to":[53,96],"infer":[54],"whether":[55],"were":[57],"compromised.":[58],"Initial":[59],"results":[60],"showed":[61],"promise":[62],"limited":[65],"dataset.":[66],"extension":[68],"this":[70],"work":[72],"now":[73],"uses":[74],"deep":[75,92],"learning,":[76],"twice":[77],"as":[78],"many":[79],"features,":[80],"analyzes":[82],"ten":[83],"times":[84],"more":[85],"malware.":[86,106],"Additional":[87],"experiments":[88],"demonstrate":[89],"our":[91],"learning":[93],"model":[94],"generalizes":[95],"unseen":[100],"threats":[101],"across":[102],"multiple":[103],"families":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}