{"id":"https://openalex.org/W4313307811","doi":"https://doi.org/10.1109/commnet56067.2022.9993953","title":"An Intelligent Anti-cheating Model in Education Exams","display_name":"An Intelligent Anti-cheating Model in Education Exams","publication_year":2022,"publication_date":"2022-12-12","ids":{"openalex":"https://openalex.org/W4313307811","doi":"https://doi.org/10.1109/commnet56067.2022.9993953"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/commnet56067.2022.9993953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5034669064","display_name":"Siham Essahraui","orcid":"https://orcid.org/0000-0001-9338-2295"},"institutions":[],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Siham Essahraui","raw_affiliation_strings":["LMASI laboratory, FPD, Mohammed Premier University, Nador, Morocco"],"affiliations":[{"raw_affiliation_string":"LMASI laboratory, FPD, Mohammed Premier University, Nador, Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058612594","display_name":"Mohammed Amine El Mrabet","orcid":"https://orcid.org/0000-0002-2644-8909"},"institutions":[],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohammed Amine El Mrabet","raw_affiliation_strings":["LMASI laboratory, FPD, Mohammed Premier University, Nador, Morocco"],"affiliations":[{"raw_affiliation_string":"LMASI laboratory, FPD, Mohammed Premier University, Nador, Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059333976","display_name":"Mouncef Filali Bouami","orcid":"https://orcid.org/0000-0001-5244-2589"},"institutions":[],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mouncef Filali Bouami","raw_affiliation_strings":["LMASI laboratory, FPD, Mohammed Premier University, Nador, Morocco"],"affiliations":[{"raw_affiliation_string":"LMASI laboratory, FPD, Mohammed Premier University, Nador, Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001534531","display_name":"Khalid El Makkaoui","orcid":"https://orcid.org/0000-0002-9569-9162"},"institutions":[],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Khalid El Makkaoui","raw_affiliation_strings":["LaMAO laboratory, MSC team, FPD, Mohammed Premier University, Nador, Morocco"],"affiliations":[{"raw_affiliation_string":"LaMAO laboratory, MSC team, FPD, Mohammed Premier University, Nador, Morocco","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076281485","display_name":"Ahmed Faize","orcid":"https://orcid.org/0000-0001-7510-8508"},"institutions":[],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Ahmed Faize","raw_affiliation_strings":["LMASI laboratory, FPD, Mohammed Premier University, Nador, Morocco"],"affiliations":[{"raw_affiliation_string":"LMASI laboratory, FPD, Mohammed Premier University, Nador, Morocco","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.308,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.34218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":70,"max":76},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9834,"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"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9834,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9806,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9736,"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/leverage","display_name":"Leverage (statistics)","score":0.71566623}],"concepts":[{"id":"https://openalex.org/C2778024590","wikidata":"https://www.wikidata.org/wiki/Q2357432","display_name":"Cheating","level":2,"score":0.9722796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7236792},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.71566623},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.54954123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53879577},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5168972},{"id":"https://openalex.org/C512170562","wikidata":"https://www.wikidata.org/wiki/Q173799","display_name":"Entertainment","level":2,"score":0.51187533},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.39306372},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34928584},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13019976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.077765346},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/commnet56067.2022.9993953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality education","score":0.76,"id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":14,"referenced_works":["https://openalex.org/W2714390071","https://openalex.org/W2946233849","https://openalex.org/W2974858490","https://openalex.org/W3047193120","https://openalex.org/W3088322667","https://openalex.org/W3124594123","https://openalex.org/W3126176810","https://openalex.org/W4200030036","https://openalex.org/W4213375822","https://openalex.org/W4213433011","https://openalex.org/W4236310593","https://openalex.org/W4238360751","https://openalex.org/W4286517983","https://openalex.org/W4287280861"],"related_works":["https://openalex.org/W4290547606","https://openalex.org/W3199302685","https://openalex.org/W2559270546","https://openalex.org/W2389163612","https://openalex.org/W2365256465","https://openalex.org/W2363831685","https://openalex.org/W2344072770","https://openalex.org/W2097662580","https://openalex.org/W2012288173","https://openalex.org/W1968538666"],"abstract_inverted_index":{"With":[0],"the":[1,9,14,35,56,62,89,136,141,147],"emergence":[2],"of":[3,17],"new":[4],"communication":[5],"and":[6,31,52,97,116,146],"entertainment":[7],"technologies,":[8],"educational":[10],"system":[11],"suffers":[12],"from":[13,107],"ever-increasing":[15],"number":[16],"cheating":[18,48,70,128],"cases":[19],"in":[20,42,55,92],"e":[23],"xams.":[24],"Today,":[25],"most":[26],"students":[27],"have":[28,50],"become":[29,59],"lazy":[30],"want":[32],"to":[33,64,110],"pass":[34],"exam":[36,44,57],"without":[37],"making":[38],"a":[39,74],"substantial":[40],"effort":[41],"their":[43],"preparation.":[45],"Consequently,":[46],"several":[47],"techniques":[49],"emerged,":[51],"classical":[53],"surveillance":[54],"has":[58],"obsolete.":[60],"There-fore,":[61],"necessity":[63],"leverage":[65],"edge":[66],"technologies":[67],"for":[68,127],"automating":[69],"case":[71,129],"detection":[72],"becomes":[73],"must.":[75],"This":[76],"paper":[77],"proposes":[78],"an":[79,123],"anti-cheating":[80],"model":[81,126,138],"focusing":[82],"on":[83,140],"student":[84],"behavior":[85],"analysis":[86],"by":[87],"analyzing":[88],"student's":[90],"posture":[91],"real-time":[93],"using":[94,114],"deep":[95],"learning":[96],"computer":[98],"vision":[99],"techniques.":[100],"We":[101],"first":[102],"extract":[103],"high-level":[104],"domain":[105],"features":[106],"video":[108],"frames":[109],"realize":[111],"this":[112],"goal":[113],"CNN-Facial-landmark":[115],"media":[117],"pipe":[118],"models.":[119],"Then,":[120],"we":[121],"use":[122],"LSTM":[124],"classification":[125],"prediction.":[130],"The":[131],"implementation":[132],"outcomes":[133],"show":[134],"that":[135],"proposed":[137],"accuracy":[139],"train":[142],"set":[143,149],"reached":[144],"94%,":[145],"test":[148],"achieved":[150],"75%.":[151]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4313307811","counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-01-18T20:00:34.704325","created_date":"2023-01-06"}