{"id":"https://openalex.org/W4406459255","doi":"https://doi.org/10.1109/bigdata62323.2024.10825461","title":"Leveraging Large Language Models and Deep Learning for Detecting Illegal Insider Trading","display_name":"Leveraging Large Language Models and Deep Learning for Detecting Illegal Insider Trading","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459255","doi":"https://doi.org/10.1109/bigdata62323.2024.10825461"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5115904682","display_name":"Anoop Adusumilli","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anoop Adusumilli","raw_affiliation_strings":["Rutgers University, Camden,Department of Computer Science,Camden,USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Camden,Department of Computer Science,Camden,USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013969000","display_name":"Sheikh Rabiul Islam","orcid":"https://orcid.org/0000-0001-9610-0230"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheikh Rabiul Islam","raw_affiliation_strings":["Rutgers University, Camden,Department of Computer Science,Camden,USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Camden,Department of Computer Science,Camden,USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068034214","display_name":"Abdollah Dehzangi","orcid":"https://orcid.org/0000-0001-8577-0271"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Iman Dehzangi","raw_affiliation_strings":["Rutgers University, Camden,Department of Computer Science,Camden,USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Camden,Department of Computer Science,Camden,USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008537357","display_name":"June Kim","orcid":"https://orcid.org/0000-0002-9611-8198"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"June Kim","raw_affiliation_strings":["Rutgers University,Department of Accounting,Camden,USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University,Department of Accounting,Camden,USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115904682"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.5614,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73786194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4809","last_page":"4818"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10081","display_name":"Auditing, Earnings Management, Governance","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6968070268630981},{"id":"https://openalex.org/keywords/insider-trading","display_name":"Insider trading","score":0.5073975920677185},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4784948229789734},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4783898591995239},{"id":"https://openalex.org/keywords/insider-threat","display_name":"Insider threat","score":0.44300946593284607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4160654544830322},{"id":"https://openalex.org/keywords/insider","display_name":"Insider","score":0.37423866987228394},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.178777277469635},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.08315107226371765},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07301980257034302},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.06241637468338013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6968070268630981},{"id":"https://openalex.org/C2781078320","wikidata":"https://www.wikidata.org/wiki/Q854623","display_name":"Insider trading","level":2,"score":0.5073975920677185},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4784948229789734},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4783898591995239},{"id":"https://openalex.org/C2776633304","wikidata":"https://www.wikidata.org/wiki/Q6038026","display_name":"Insider threat","level":3,"score":0.44300946593284607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4160654544830322},{"id":"https://openalex.org/C2778971194","wikidata":"https://www.wikidata.org/wiki/Q1664551","display_name":"Insider","level":2,"score":0.37423866987228394},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.178777277469635},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.08315107226371765},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07301980257034302},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.06241637468338013}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2516809705","https://openalex.org/W2888214786","https://openalex.org/W2896457183","https://openalex.org/W2962862931","https://openalex.org/W2965373594","https://openalex.org/W3047171714","https://openalex.org/W3128988814","https://openalex.org/W3129590856","https://openalex.org/W3136648309","https://openalex.org/W3198461157","https://openalex.org/W4210266084","https://openalex.org/W4224220755","https://openalex.org/W4242808804","https://openalex.org/W4300485781","https://openalex.org/W4303438998","https://openalex.org/W4310713239","https://openalex.org/W4327978140","https://openalex.org/W4385763767","https://openalex.org/W4389079570","https://openalex.org/W6737947904","https://openalex.org/W6766673545","https://openalex.org/W6767182473","https://openalex.org/W6781275321","https://openalex.org/W6811309592","https://openalex.org/W6845625448","https://openalex.org/W6853845801"],"related_works":["https://openalex.org/W2766781562","https://openalex.org/W4205304595","https://openalex.org/W2792608345","https://openalex.org/W2979782961","https://openalex.org/W308359497","https://openalex.org/W1499596878","https://openalex.org/W3136170567","https://openalex.org/W2947769183","https://openalex.org/W26305611","https://openalex.org/W4399147188"],"abstract_inverted_index":{"Illegal":[0],"insider":[1,40,82,121],"trading":[2,41,104],"undermines":[3],"the":[4,110],"integrity":[5],"of":[6,46,53,119],"financial":[7,131],"markets":[8],"by":[9],"exploiting":[10],"non-public":[11],"information":[12],"for":[13],"personal":[14],"gain,":[15],"posing":[16],"risks":[17],"to":[18,29,76,101,140,143],"market":[19,92,145],"fairness":[20,146],"and":[21,32,48,51,73,78,90,93,126,133,147],"investor":[22,34],"trust.":[23],"Addressing":[24],"this":[25],"issue":[26],"is":[27,113],"crucial":[28],"ensure":[30],"transparency":[31],"maintain":[33],"confidence.":[35],"Estimates":[36],"indicate":[37],"that":[38,64,109],"illegal":[39,81,120],"occurs":[42],"in":[43,115],"about":[44],"20%":[45],"merger":[47],"acquisition":[49],"events":[50],"5%":[52],"quarterly":[54],"earnings":[55],"announcements.":[56],"Our":[57,106],"research":[58],"introduces":[59],"a":[60,99],"deep":[61],"learning-based":[62],"approach":[63,112],"combines":[65],"text":[66],"classification,":[67],"time":[68],"series":[69],"forecasting,":[70],"anomaly":[71],"detection":[72],"explainable":[74],"AI":[75],"detect":[77],"predict":[79],"potential":[80,117],"trading.":[83],"By":[84],"analyzing":[85],"litigation":[86],"related":[87],"press":[88],"releases":[89],"incorporating":[91],"social":[94],"media":[95],"data,":[96],"we":[97],"develop":[98],"method":[100],"identify":[102],"suspicious":[103],"patterns.":[105],"findings":[107],"demonstrate":[108],"proposed":[111],"promising":[114],"detecting":[116],"instances":[118],"trading,":[122],"uncovering":[123],"subtle":[124],"patterns":[125],"anomalies.":[127],"These":[128],"insights":[129],"offer":[130],"regulators":[132],"institutions":[134],"an":[135],"enhanced":[136],"surveillance":[137],"mechanism,":[138],"contributing":[139],"ongoing":[141],"efforts":[142],"safeguard":[144],"reliability.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
