{"id":"https://openalex.org/W3037593814","doi":"https://doi.org/10.1145/3369412.3395069","title":"LiveDI: An Anti-theft Model Based on Driving Behavior","display_name":"LiveDI: An Anti-theft Model Based on Driving Behavior","publication_year":2020,"publication_date":"2020-06-22","ids":{"openalex":"https://openalex.org/W3037593814","doi":"https://doi.org/10.1145/3369412.3395069","mag":"3037593814"},"language":"en","primary_location":{"id":"doi:10.1145/3369412.3395069","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369412.3395069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-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/A5036086282","display_name":"Hashim Abu-gellban","orcid":"https://orcid.org/0000-0003-4498-8543"},"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":"Hashim Abu-gellban","raw_affiliation_strings":["Texas Tech University, Lubbock, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102021622","display_name":"Long Nguyen","orcid":"https://orcid.org/0000-0002-9507-8198"},"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":"Long Nguyen","raw_affiliation_strings":["Texas Tech University, Lubbock, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061940449","display_name":"Mahdi Naser Moghadasi","orcid":null},"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":"Mahdi Moghadasi","raw_affiliation_strings":["Texas Tech University, Irving, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University, Irving, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083206555","display_name":"Zhenhe Pan","orcid":null},"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":"Zhenhe Pan","raw_affiliation_strings":["Texas Tech University, Lubbock, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101706801","display_name":"Fang Jin","orcid":"https://orcid.org/0000-0002-6606-5232"},"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":"Fang Jin","raw_affiliation_strings":["Texas Tech University, Lubbock, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2811,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88879468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7786818742752075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5563004612922668},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5132105350494385},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.46110305190086365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4608902335166931},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44654443860054016},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.435090571641922},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4155055582523346},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.38335224986076355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13270455598831177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786818742752075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5563004612922668},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5132105350494385},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.46110305190086365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4608902335166931},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44654443860054016},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.435090571641922},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4155055582523346},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.38335224986076355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13270455598831177},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3369412.3395069","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369412.3395069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2559659573","https://openalex.org/W2586298664","https://openalex.org/W2606851531","https://openalex.org/W2792440251","https://openalex.org/W2794150491","https://openalex.org/W2796896644","https://openalex.org/W2805557887","https://openalex.org/W2897940545","https://openalex.org/W2911964244","https://openalex.org/W2915329514","https://openalex.org/W2933725428","https://openalex.org/W2944182621","https://openalex.org/W4308909683","https://openalex.org/W4309845474","https://openalex.org/W6743731764"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2043093291","https://openalex.org/W2101155126","https://openalex.org/W2363545964"],"abstract_inverted_index":{"Anti-theft":[0],"problem":[1],"has":[2,26],"been":[3,27],"challenging":[4],"since":[5],"it":[6],"mainly":[7],"depends":[8],"on":[9,127],"the":[10,30,52,81,89,94,102,106,123,137],"existence":[11],"of":[12,54,80,125],"external":[13,55],"devices":[14,56],"to":[15,32,59,75,100],"defend":[16],"from":[17,84],"thefts.":[18],"Recently,":[19],"driver":[20],"behavior":[21,50],"analysis":[22],"using":[23],"supervised":[24],"learning":[25],"investigated":[28],"with":[29,111],"goal":[31],"detect":[33],"burglary":[34],"by":[35,92],"identifying":[36],"drivers.":[37,61,85],"In":[38],"this":[39],"paper,":[40],"we":[41,87],"propose":[42],"a":[43,112],"data-driven":[44],"technique,":[45],"LiveDI,":[46],"which":[47,121],"uses":[48],"driving":[49,82,107],"removing":[51],"use":[53],"in":[57],"order":[58],"identify":[60],"The":[62],"built":[63],"model":[64],"utilizes":[65],"Gated":[66],"Recurrent":[67],"Unit":[68],"(GRU)":[69],"and":[70,130],"Fully":[71],"Convolutional":[72],"Networks":[73],"(FCN)":[74],"learn":[76],"long-short":[77],"term":[78],"patterns":[79],"behaviors":[83,108],"Additionally,":[86],"improve":[88],"training":[90],"time":[91,113],"utilizing":[93],"Segmented":[95],"Feature":[96],"Generation":[97],"(SFG)":[98],"algorithm":[99],"reduce":[101],"state":[103],"space":[104],"where":[105],"are":[109,119],"split":[110],"window":[114],"for":[115],"analysis.":[116],"Extensive":[117],"experiments":[118],"conducted":[120],"show":[122],"impact":[124],"parameters":[126],"our":[128,133],"technique":[129],"verify":[131],"that":[132],"proposed":[134],"approach":[135],"outperforms":[136],"state-of-the-art":[138],"baseline":[139],"methods.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
