{"id":"https://openalex.org/W4408325229","doi":"https://doi.org/10.1109/globecom52923.2024.10901591","title":"Using Siamese Networks and Autoencoders for Feature Reduction in IoT Security","display_name":"Using Siamese Networks and Autoencoders for Feature Reduction in IoT Security","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4408325229","doi":"https://doi.org/10.1109/globecom52923.2024.10901591"},"language":"en","primary_location":{"id":"doi:10.1109/globecom52923.2024.10901591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","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/A5094044965","display_name":"Chonghao Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chonghao Pei","raw_affiliation_strings":["University of Leeds,Leeds,U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds,Leeds,U.K","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038175535","display_name":"Lotfi Mhamdi","orcid":"https://orcid.org/0009-0000-6492-2088"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lotfi Mhamdi","raw_affiliation_strings":["University of Leeds,Leeds,U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds,Leeds,U.K","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130828816"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4848","last_page":"4853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.921500027179718,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.921500027179718,"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/computer-science","display_name":"Computer science","score":0.7374747395515442},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.7326400279998779},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6374890804290771},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.603309154510498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4643787145614624},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4047204256057739},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.04958578944206238}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374747395515442},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.7326400279998779},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6374890804290771},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.603309154510498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4643787145614624},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4047204256057739},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.04958578944206238},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/globecom52923.2024.10901591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","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":13,"referenced_works":["https://openalex.org/W1574447377","https://openalex.org/W2064733273","https://openalex.org/W2171590421","https://openalex.org/W2489416479","https://openalex.org/W2789828921","https://openalex.org/W2799758613","https://openalex.org/W2956751376","https://openalex.org/W3015471529","https://openalex.org/W3081575380","https://openalex.org/W3095531713","https://openalex.org/W3109725889","https://openalex.org/W4387501456","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W4361251261","https://openalex.org/W3031181660","https://openalex.org/W4238100021"],"abstract_inverted_index":{"In":[0],"the":[1,4,20,39,43,51,62,72,114,130,140],"development":[2],"of":[3,6,54,71,116,124,142],"Internet":[5],"Things":[7],"(IoT),":[8],"machine":[9,143],"learning":[10,144],"has":[11],"become":[12],"a":[13],"significant":[14],"solution":[15],"to":[16,64],"cyberattack":[17],"challenges.":[18],"However,":[19],"vast":[21],"and":[22,89,102,109,127],"heterogeneous":[23],"IoT":[24,55],"network":[25,45,56,147],"traffic":[26,57],"poses":[27],"challenges":[28],"for":[29,146],"resource-constrained":[30],"devices.":[31],"To":[32],"address":[33],"this":[34,36],"concern,":[35],"paper":[37],"introduces":[38],"SiaAE":[40,82,95,120],"approach,":[41],"integrating":[42],"Siamese":[44],"with":[46],"autoencoders,":[47],"aimed":[48],"at":[49],"reducing":[50,78],"feature":[52,107],"dimensionality":[53],"data.":[58],"This":[59],"design":[60],"enables":[61],"autoencoder":[63],"differentiate":[65],"between":[66],"detailed":[67],"information":[68],"among":[69],"samples":[70],"same":[73],"or":[74],"different":[75],"categories":[76],"while":[77],"dimensionality.":[79],"We":[80],"evaluated":[81],"on":[83,129],"three":[84,131],"public":[85],"datasets:":[86],"CICIDS2017,":[87],"N-BaIoT,":[88],"TON-IoT.":[90],"The":[91],"results":[92],"demonstrate":[93],"that":[94],"outperforms":[96],"traditional":[97],"Principal":[98],"Component":[99],"Analysis":[100],"(PCA)":[101],"standard":[103],"autoencoders":[104],"(AE)":[105],"in":[106,138],"reduction":[108],"class":[110],"separation,":[111],"thereby":[112],"enhancing":[113],"accuracy":[115,122],"classification":[117],"tasks.":[118],"Specifically,":[119],"achieved":[121],"rates":[123],"99.94%,":[125],"99.97%,":[126],"97.99%":[128],"datasets,":[132],"respectively.":[133],"Its":[134],"effectiveness":[135],"is":[136],"proven":[137],"improving":[139],"performance":[141],"models":[145],"security.":[148]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
