{"id":"https://openalex.org/W3184839167","doi":"https://doi.org/10.3390/s21144884","title":"A Hybrid Deep Learning-Driven SDN Enabled Mechanism for Secure Communication in Internet of Things (IoT)","display_name":"A Hybrid Deep Learning-Driven SDN Enabled Mechanism for Secure Communication in Internet of Things (IoT)","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3184839167","doi":"https://doi.org/10.3390/s21144884","mag":"3184839167","pmid":"https://pubmed.ncbi.nlm.nih.gov/34300623"},"language":"en","primary_location":{"id":"doi:10.3390/s21144884","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21144884","pdf_url":"https://www.mdpi.com/1424-8220/21/14/4884/pdf?version=1626581503","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/14/4884/pdf?version=1626581503","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046899691","display_name":"Danish Javeed","orcid":"https://orcid.org/0000-0002-7831-8188"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danish Javeed","raw_affiliation_strings":["Software College, Northeastern University, Shenyang 110169, China"],"raw_orcid":"https://orcid.org/0000-0002-7831-8188","affiliations":[{"raw_affiliation_string":"Software College, Northeastern University, Shenyang 110169, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101904686","display_name":"Tianhan Gao","orcid":"https://orcid.org/0000-0002-0272-194X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianhan Gao","raw_affiliation_strings":["Software College, Northeastern University, Shenyang 110169, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software College, Northeastern University, Shenyang 110169, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028805089","display_name":"Muhammad Taimoor Khan","orcid":"https://orcid.org/0000-0003-1326-7292"},"institutions":[{"id":"https://openalex.org/I195024194","display_name":"Riphah International University","ror":"https://ror.org/02kdm5630","country_code":"PK","type":"education","lineage":["https://openalex.org/I195024194"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Khan","raw_affiliation_strings":["Riphah Institute of Science and Engineering, Islamabad 44000, Pakistan"],"raw_orcid":"https://orcid.org/0000-0003-1326-7292","affiliations":[{"raw_affiliation_string":"Riphah Institute of Science and Engineering, Islamabad 44000, Pakistan","institution_ids":["https://openalex.org/I195024194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061835682","display_name":"Ijaz Ahmad","orcid":"https://orcid.org/0000-0003-3974-2207"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I246743127","display_name":"The University of Agriculture, Peshawar","ror":"https://ror.org/02sp3q482","country_code":"PK","type":"education","lineage":["https://openalex.org/I246743127"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN","PK"],"is_corresponding":false,"raw_author_name":"Ijaz Ahmad","raw_affiliation_strings":["Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture, Peshawar 25130, Pakistan","Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518000, China"],"raw_orcid":"https://orcid.org/0000-0003-3974-2207","affiliations":[{"raw_affiliation_string":"Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture, Peshawar 25130, Pakistan","institution_ids":["https://openalex.org/I246743127"]},{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518000, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101904686"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":11.5292,"has_fulltext":true,"cited_by_count":90,"citation_normalized_percentile":{"value":0.98854154,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"21","issue":"14","first_page":"4884","last_page":"4884"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9973000288009644,"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/cuda","display_name":"CUDA","score":0.8371509909629822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8172301054000854},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.718399167060852},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7127805352210999},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6961695551872253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5348588228225708},{"id":"https://openalex.org/keywords/memory-model","display_name":"Memory model","score":0.5208319425582886},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5190011262893677},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5101690292358398},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.4861583411693573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4277102053165436},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.42367690801620483},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4177752435207367},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.40156587958335876},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.3806224763393402},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.337155818939209},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32844191789627075},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16448315978050232},{"id":"https://openalex.org/keywords/shared-memory","display_name":"Shared memory","score":0.13030734658241272}],"concepts":[{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.8371509909629822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8172301054000854},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.718399167060852},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7127805352210999},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6961695551872253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5348588228225708},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.5208319425582886},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5190011262893677},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5101690292358398},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.4861583411693573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4277102053165436},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.42367690801620483},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4177752435207367},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.40156587958335876},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3806224763393402},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.337155818939209},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32844191789627075},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16448315978050232},{"id":"https://openalex.org/C133875982","wikidata":"https://www.wikidata.org/wiki/Q764810","display_name":"Shared memory","level":2,"score":0.13030734658241272},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21144884","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21144884","pdf_url":"https://www.mdpi.com/1424-8220/21/14/4884/pdf?version=1626581503","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34300623","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34300623","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:e69402e364f3409f9436bc6ef8e7a401","is_oa":true,"landing_page_url":"https://doaj.org/article/e69402e364f3409f9436bc6ef8e7a401","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 14, p 4884 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/14/4884/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21144884","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 14; Pages: 4884","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8309860","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8309860","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21144884","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21144884","pdf_url":"https://www.mdpi.com/1424-8220/21/14/4884/pdf?version=1626581503","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"},{"score":0.4099999964237213,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3184839167.pdf","grobid_xml":"https://content.openalex.org/works/W3184839167.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1519565400","https://openalex.org/W1988741337","https://openalex.org/W2168620475","https://openalex.org/W2517975492","https://openalex.org/W2525133044","https://openalex.org/W2528827134","https://openalex.org/W2625013748","https://openalex.org/W2742348833","https://openalex.org/W2752291283","https://openalex.org/W2754804809","https://openalex.org/W2762155482","https://openalex.org/W2771524937","https://openalex.org/W2783146946","https://openalex.org/W2783354685","https://openalex.org/W2789828921","https://openalex.org/W2793500577","https://openalex.org/W2797425850","https://openalex.org/W2808303873","https://openalex.org/W2883062872","https://openalex.org/W2886654865","https://openalex.org/W2891214000","https://openalex.org/W2892583370","https://openalex.org/W2909089739","https://openalex.org/W2910055922","https://openalex.org/W2910315044","https://openalex.org/W2941828467","https://openalex.org/W2945639270","https://openalex.org/W2946361217","https://openalex.org/W2949913959","https://openalex.org/W2952066300","https://openalex.org/W2956030019","https://openalex.org/W2956839102","https://openalex.org/W2963260415","https://openalex.org/W2963748489","https://openalex.org/W2963752169","https://openalex.org/W2965239606","https://openalex.org/W2980967918","https://openalex.org/W2982426954","https://openalex.org/W2989255594","https://openalex.org/W3006912911","https://openalex.org/W3013100408","https://openalex.org/W3015108593","https://openalex.org/W3028069824","https://openalex.org/W3032021129","https://openalex.org/W3037851023","https://openalex.org/W3045734364","https://openalex.org/W3049567436","https://openalex.org/W3088067349","https://openalex.org/W3098620325","https://openalex.org/W3103106496","https://openalex.org/W3112404004","https://openalex.org/W3153313568","https://openalex.org/W6787254907"],"related_works":["https://openalex.org/W2912153778","https://openalex.org/W4288108708","https://openalex.org/W4387163678","https://openalex.org/W2973430807","https://openalex.org/W4385280324","https://openalex.org/W2890685186","https://openalex.org/W2984436043","https://openalex.org/W4390245176","https://openalex.org/W3173606726","https://openalex.org/W2904359912"],"abstract_inverted_index":{"The":[0,74,109,123],"Internet":[1],"of":[2,14,27,34,107,126,135,178],"Things":[3],"(IoT)":[4],"has":[5],"emerged":[6],"as":[7,163,165],"a":[8,32,47,133],"new":[9],"technological":[10],"world":[11],"connecting":[12],"billions":[13],"devices.":[15],"Despite":[16],"providing":[17],"several":[18],"benefits,":[19],"the":[20,24,28,52,105,127,140],"heterogeneous":[21],"nature":[22],"and":[23,42,84,153,184],"extensive":[25],"connectivity":[26],"devices":[29],"make":[30],"it":[31],"target":[33],"different":[35],"cyberattacks":[36],"that":[37],"result":[38],"in":[39,70,176],"data":[40,114],"breach":[41],"financial":[43],"loss.":[44],"There":[45],"is":[46,65,116,130],"severe":[48],"need":[49],"to":[50,103,118],"secure":[51],"IoT":[53,72],"environment":[54],"from":[55],"such":[56],"attacks.":[57],"In":[58],"this":[59],"paper,":[60],"an":[61,71],"SDN-enabled":[62],"deep-learning-driven":[63],"framework":[64],"proposed":[66,128,141,171],"for":[67,93],"threats":[68],"detection":[69],"environment.":[73],"state-of-the-art":[75],"Cuda-deep":[76],"neural":[77],"network,":[78],"gated":[79],"recurrent":[80],"unit":[81],"(Cu-":[82,161],"DNNGRU),":[83],"Cuda-bidirectional":[85],"long":[86],"short-term":[87],"memory":[88,151,160],"(Cu-BLSTM)":[89],"classifiers":[90],"are":[91],"adopted":[92],"effective":[94],"threat":[95],"detection.":[96],"We":[97],"have":[98],"performed":[99],"10":[100],"folds":[101],"cross-validation":[102],"show":[104],"unbiasedness":[106],"results.":[108],"up-to-date":[110],"publicly":[111],"available":[112],"CICIDS2018":[113],"set":[115],"introduced":[117],"train":[119],"our":[120],"hybrid":[121,142],"model.":[122],"achieved":[124],"accuracy":[125],"scheme":[129],"99.87%,":[131],"with":[132,144,166],"recall":[134],"99.96%.":[136],"Furthermore,":[137],"we":[138],"compare":[139],"model":[143],"Cuda-Gated":[145],"Recurrent":[146],"Unit,":[147],"Long":[148,157],"short":[149,158],"term":[150,159],"(Cu-GRULSTM)":[152],"Cuda-Deep":[154],"Neural":[155],"Network,":[156],"DNNLSTM),":[162],"well":[164],"existing":[167],"benchmark":[168],"classifiers.":[169],"Our":[170],"mechanism":[172],"achieves":[173],"impressive":[174],"results":[175],"terms":[177],"accuracy,":[179],"F1-score,":[180],"precision,":[181],"speed":[182],"efficiency,":[183],"other":[185],"evaluation":[186],"metrics.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}