{"id":"https://openalex.org/W4405975598","doi":"https://doi.org/10.1109/icspcs63175.2024.10815773","title":"Internet of Things Anomaly Detection Enhancement using GAN-based Data Augmentation","display_name":"Internet of Things Anomaly Detection Enhancement using GAN-based Data Augmentation","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4405975598","doi":"https://doi.org/10.1109/icspcs63175.2024.10815773"},"language":"en","primary_location":{"id":"doi:10.1109/icspcs63175.2024.10815773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcs63175.2024.10815773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Conference on Signal Processing and Communication System (ICSPCS)","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/A5005948685","display_name":"Christopher Kevin Wong","orcid":"https://orcid.org/0000-0001-5041-527X"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Christopher Wong","raw_affiliation_strings":["University of Canberra ACT,Faculty of Science and Technology,Australia,2617"],"affiliations":[{"raw_affiliation_string":"University of Canberra ACT,Faculty of Science and Technology,Australia,2617","institution_ids":["https://openalex.org/I188329596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047284","display_name":"Min Wang","orcid":"https://orcid.org/0000-0003-4006-5733"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Min Wang","raw_affiliation_strings":["University of Canberra ACT,Faculty of Science and Technology,Australia,2617"],"affiliations":[{"raw_affiliation_string":"University of Canberra ACT,Faculty of Science and Technology,Australia,2617","institution_ids":["https://openalex.org/I188329596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041061347","display_name":"Md. Farhad Hossain","orcid":"https://orcid.org/0000-0001-5632-7633"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Md Farhad Hossain","raw_affiliation_strings":["University of Canberra ACT,Faculty of Science and Technology,Australia,2617"],"affiliations":[{"raw_affiliation_string":"University of Canberra ACT,Faculty of Science and Technology,Australia,2617","institution_ids":["https://openalex.org/I188329596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066074266","display_name":"Kumudu S. Munasinghe","orcid":"https://orcid.org/0000-0002-0141-8973"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kumudu Munasinghe","raw_affiliation_strings":["University of Canberra ACT,Faculty of Science and Technology,Australia,2617"],"affiliations":[{"raw_affiliation_string":"University of Canberra ACT,Faculty of Science and Technology,Australia,2617","institution_ids":["https://openalex.org/I188329596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005948685"],"corresponding_institution_ids":["https://openalex.org/I188329596"],"apc_list":null,"apc_paid":null,"fwci":0.3755,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66172275,"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":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13693","display_name":"Smart Systems and Machine Learning","score":0.42250001430511475,"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"}},"topics":[{"id":"https://openalex.org/T13693","display_name":"Smart Systems and Machine Learning","score":0.42250001430511475,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6187648773193359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5279632806777954},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5263612866401672},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.42212191224098206},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2840745449066162},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17247909307479858},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10606271028518677},{"id":"https://openalex.org/keywords/condensed-matter-physics","display_name":"Condensed matter physics","score":0.09274446964263916}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6187648773193359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5279632806777954},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5263612866401672},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.42212191224098206},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2840745449066162},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17247909307479858},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10606271028518677},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.09274446964263916}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcs63175.2024.10815773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcs63175.2024.10815773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Conference on Signal Processing and Communication System (ICSPCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2766942241","https://openalex.org/W2897035501","https://openalex.org/W2945959416","https://openalex.org/W2966531722","https://openalex.org/W3109045240","https://openalex.org/W3112685504","https://openalex.org/W3117221752","https://openalex.org/W3175298242","https://openalex.org/W3213284968","https://openalex.org/W4220674692","https://openalex.org/W4285606067","https://openalex.org/W4294691748","https://openalex.org/W4362564509","https://openalex.org/W4384209454","https://openalex.org/W4385877748","https://openalex.org/W4392152485","https://openalex.org/W4399530423","https://openalex.org/W6630210095"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,36,47,57,92,140,184,202],"in":[2,72,151,186,203],"Internet":[3],"of":[4,138,148],"Things":[5],"(IoT)":[6],"systems":[7],"is":[8,107],"essential":[9],"for":[10,23,128,199],"preventing":[11],"failures,":[12],"security":[13],"breaches,":[14],"and":[15,99,155,172,190],"inaccurate":[16],"predictions.":[17],"Deep":[18],"learning-based":[19],"approaches":[20],"are":[21,118,134],"effective":[22,129,198],"this":[24,40,195],"purpose":[25],"but":[26],"often":[27],"suffer":[28],"from":[29],"insufficient":[30],"labeled":[31],"training":[32,84],"data,":[33],"which":[34,117,145,165],"limits":[35],"accuracy.":[37,101],"To":[38],"address":[39],"challenge,":[41],"we":[42],"propose":[43],"a":[44,62,122,142,162],"novel":[45],"anomaly":[46,56,91,103,201],"framework":[48,60],"that":[49,68,178],"embeds":[50],"synthetic":[51,79],"data":[52,76,97,106,150,180],"generation":[53],"with":[54],"the":[55,83,90,188],"process.":[58],"The":[59],"integrates":[61],"Generative":[63],"Adversarial":[64],"Network":[65,126],"(GAN)-based":[66],"module":[67,93],"learns":[69,146],"underlying":[70],"patterns":[71],"normal":[73,149,171],"and/or":[74],"abnormal":[75,173],"to":[77,94,113,136,169],"generate":[78],"samples,":[80],"effectively":[81],"augmenting":[82],"set.":[85],"This":[86],"enriched":[87],"dataset":[88],"allows":[89],"better":[95],"capture":[96],"variability":[98],"improve":[100],"For":[102],"detection,":[104],"raw":[105],"first":[108],"converted":[109],"into":[110],"spectrogram":[111],"images":[112],"enhance":[114],"feature":[115,130],"representation,":[116],"then":[119],"encoded":[120],"by":[121,158],"pre-trained":[123],"Convolutional":[124],"Neural":[125],"(CNN)":[127],"extraction.":[131],"These":[132],"features":[133],"passed":[135],"one":[137],"two":[139],"models:":[141],"deep":[143],"Autoencoder,":[144],"representations":[147],"an":[152],"unsupervised":[153,191],"manner":[154],"identifies":[156],"anomalies":[157],"reconstruction":[159],"error,":[160],"or":[161],"CNN":[163],"classifier,":[164],"uses":[166],"supervised":[167,189],"learning":[168,192],"classify":[170],"data.":[174],"Experimental":[175],"results":[176],"show":[177],"GAN-based":[179],"augmentation":[181],"significantly":[182],"boosts":[183],"performance":[185],"both":[187],"cases,":[193],"making":[194],"approach":[196],"highly":[197],"reliable":[200],"IoT":[204],"systems.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
