{"id":"https://openalex.org/W4399307603","doi":"https://doi.org/10.1109/pais62114.2024.10541183","title":"Enhancing IoT Security: A Deep Learning Approach with Autoencoder-DNN Intrusion Detection Model","display_name":"Enhancing IoT Security: A Deep Learning Approach with Autoencoder-DNN Intrusion Detection Model","publication_year":2024,"publication_date":"2024-04-24","ids":{"openalex":"https://openalex.org/W4399307603","doi":"https://doi.org/10.1109/pais62114.2024.10541183"},"language":"en","primary_location":{"id":"doi:10.1109/pais62114.2024.10541183","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/pais62114.2024.10541183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","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/A5003793510","display_name":"Sarra Cherfi","orcid":"https://orcid.org/0009-0003-5988-2482"},"institutions":[{"id":"https://openalex.org/I116970179","display_name":"University of Jijel","ror":"https://ror.org/03kkfk814","country_code":"DZ","type":"education","lineage":["https://openalex.org/I116970179"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Sarra Cherfi","raw_affiliation_strings":["University of Jijel,LaRIA Laboratory,Jijel,Algeria,18000","Faculty of Exact Sciences and Computer Science, University of Jijel, Jijel, Algeria"],"affiliations":[{"raw_affiliation_string":"University of Jijel,LaRIA Laboratory,Jijel,Algeria,18000","institution_ids":["https://openalex.org/I116970179"]},{"raw_affiliation_string":"Faculty of Exact Sciences and Computer Science, University of Jijel, Jijel, Algeria","institution_ids":["https://openalex.org/I116970179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029958323","display_name":"Ammar Boulaiche","orcid":"https://orcid.org/0009-0001-4771-4831"},"institutions":[{"id":"https://openalex.org/I116970179","display_name":"University of Jijel","ror":"https://ror.org/03kkfk814","country_code":"DZ","type":"education","lineage":["https://openalex.org/I116970179"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Ammar Boulaiche","raw_affiliation_strings":["University of Jijel,LaRIA Laboratory,Jijel,Algeria,18000","Faculty of Exact Sciences and Computer Science, University of Jijel, Jijel, Algeria"],"affiliations":[{"raw_affiliation_string":"University of Jijel,LaRIA Laboratory,Jijel,Algeria,18000","institution_ids":["https://openalex.org/I116970179"]},{"raw_affiliation_string":"Faculty of Exact Sciences and Computer Science, University of Jijel, Jijel, Algeria","institution_ids":["https://openalex.org/I116970179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005580212","display_name":"Ali Lemouari","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096460","display_name":"Centre Universitaire de Tamanrasset","ror":"https://ror.org/00r0rx657","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210096460"]},{"id":"https://openalex.org/I116970179","display_name":"University of Jijel","ror":"https://ror.org/03kkfk814","country_code":"DZ","type":"education","lineage":["https://openalex.org/I116970179"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Ali Lemouari","raw_affiliation_strings":["University of Jijel,LaRIA Laboratory,Jijel,Algeria,18000","Faculty of Science and Technology, University of Tamanrasset, Tamanrasset, Algeria"],"affiliations":[{"raw_affiliation_string":"University of Jijel,LaRIA Laboratory,Jijel,Algeria,18000","institution_ids":["https://openalex.org/I116970179"]},{"raw_affiliation_string":"Faculty of Science and Technology, University of Tamanrasset, Tamanrasset, Algeria","institution_ids":["https://openalex.org/I4210096460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003793510"],"corresponding_institution_ids":["https://openalex.org/I116970179"],"apc_list":null,"apc_paid":null,"fwci":0.3653,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57214909,"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/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9991999864578247,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.9491127729415894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7666951417922974},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7592272758483887},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6810060739517212},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6437574028968811},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.641486406326294},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5419647693634033},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4463740587234497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4409918189048767},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4208712875843048}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9491127729415894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666951417922974},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7592272758483887},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6810060739517212},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6437574028968811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.641486406326294},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5419647693634033},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4463740587234497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4409918189048767},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4208712875843048}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pais62114.2024.10541183","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/pais62114.2024.10541183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1489073918","https://openalex.org/W2056760934","https://openalex.org/W2296509296","https://openalex.org/W2498302240","https://openalex.org/W2789828921","https://openalex.org/W2805382685","https://openalex.org/W2930411433","https://openalex.org/W3130099854","https://openalex.org/W3162956350","https://openalex.org/W3180273110","https://openalex.org/W3195161028","https://openalex.org/W3202083238","https://openalex.org/W4205136287","https://openalex.org/W4205519045","https://openalex.org/W4206439526","https://openalex.org/W4220658398","https://openalex.org/W4220898392","https://openalex.org/W4225622006","https://openalex.org/W4226431129","https://openalex.org/W4294405846","https://openalex.org/W4297152848","https://openalex.org/W4311775729","https://openalex.org/W4313654696","https://openalex.org/W4320016096","https://openalex.org/W4321325892","https://openalex.org/W4323362877","https://openalex.org/W4353057854","https://openalex.org/W4383890096"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W3008584592"],"abstract_inverted_index":{"As":[0],"the":[1,17,61],"Internet":[2],"of":[3,56,69,84],"Things":[4],"(IoT)":[5],"continues":[6],"to":[7,19],"proliferate,":[8],"driving":[9],"an":[10,45],"unprecedented":[11],"surge":[12],"in":[13],"network":[14],"traffic":[15],"worldwide,":[16],"imperative":[18],"safeguard":[20],"interconnected":[21],"devices":[22],"against":[23],"security":[24],"threats":[25],"has":[26],"become":[27],"increasingly":[28],"paramount.":[29],"In":[30],"this":[31],"work,":[32],"we":[33],"introduce":[34],"a":[35,48,54],"new":[36],"deep":[37,49],"learning-based":[38],"intrusion":[39],"detection":[40],"model,":[41],"specifically":[42],"by":[43],"integrating":[44],"autoencoder":[46],"with":[47],"neural":[50],"network.":[51],"We":[52],"employ":[53],"combination":[55],"information":[57],"gain":[58],"calculation":[59],"and":[60,79,88],"simulated":[62],"annealing":[63],"algorithm":[64],"for":[65],"attribute":[66],"selection.":[67],"Evaluation":[68],"our":[70],"model":[71],"on":[72],"diverse":[73],"datasets":[74],"including":[75],"UNSW-NB15,":[76],"TON-IOTwin7,":[77],"TON-IOTwin10,":[78],"CICIDS2017":[80],"demonstrates":[81],"impressive":[82],"accuracies":[83],"76.90%,":[85],"99.90%,":[86],"99.86%,":[87],"99.40%,":[89],"respectively.":[90]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}