{"id":"https://openalex.org/W4410192218","doi":"https://doi.org/10.1145/3696673.3723092","title":"Study of Deep learning Architectures for Network Intrusion Detection","display_name":"Study of Deep learning Architectures for Network Intrusion Detection","publication_year":2025,"publication_date":"2025-04-24","ids":{"openalex":"https://openalex.org/W4410192218","doi":"https://doi.org/10.1145/3696673.3723092"},"language":"en","primary_location":{"id":"doi:10.1145/3696673.3723092","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696673.3723092","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696673.3723092","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM Southeast Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696673.3723092","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117476845","display_name":"Bimal Parakkal","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bimal Parakkal","raw_affiliation_strings":["Engineering Management and Systems Engineering, The George Washington University, Washington, DC, CA, USA"],"affiliations":[{"raw_affiliation_string":"Engineering Management and Systems Engineering, The George Washington University, Washington, DC, CA, USA","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050432319","display_name":"Thomas A. Mazzuchi","orcid":"https://orcid.org/0000-0002-4584-4018"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Mazzuchi","raw_affiliation_strings":["Engineering Management and Systems Engineering, The George Washington University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Engineering Management and Systems Engineering, The George Washington University, Washington, DC, USA","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052672909","display_name":"Shahram Sarkani","orcid":"https://orcid.org/0000-0002-7287-4415"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahram Sarkani","raw_affiliation_strings":["Engineering Management and Systems Engineering, The George Washington University, Washington, DC, CA, USA"],"affiliations":[{"raw_affiliation_string":"Engineering Management and Systems Engineering, The George Washington University, Washington, DC, CA, USA","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5117476845"],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1142753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"298"},"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":0.9986000061035156,"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":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.7208265662193298},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6415405869483948},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5854007005691528},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4303179979324341},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32138535380363464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7208265662193298},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6415405869483948},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5854007005691528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4303179979324341},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32138535380363464}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696673.3723092","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696673.3723092","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696673.3723092","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM Southeast Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696673.3723092","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696673.3723092","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696673.3723092","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM Southeast Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410192218.pdf","grobid_xml":"https://content.openalex.org/works/W4410192218.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2295598076","https://openalex.org/W2296509296","https://openalex.org/W3017346274","https://openalex.org/W3117819143","https://openalex.org/W3164964481"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"The":[0,49],"task":[1,58],"of":[2,23,51,102,118,129],"Network":[3,36],"Intrusion":[4,38,82],"detection":[5,83],"involves":[6],"detecting":[7],"and":[8,67,125],"stopping":[9],"bad":[10],"actors":[11],"from":[12,46],"obtaining":[13],"unauthorized":[14],"access":[15],"to":[16,19,86],"systems.":[17],"Due":[18],"the":[20,24,57,100,116],"varied":[21],"nature":[22],"network":[25],"attack":[26],"types,":[27],"Multi-class":[28],"classification":[29,93,131],"models":[30,55,74,107,110],"are":[31,59],"routinely":[32,77],"employed":[33],"in":[34,81],"Autonomous":[35],"based":[37],"Detection":[39],"systems":[40,84],"(NIDS),":[41],"for":[42],"distinguishing":[43],"malicious":[44],"traffic":[45],"benign":[47],"traffic.":[48],"performance":[50,89,101,117],"these":[52],"Machine":[53],"learning":[54,106],"on":[56,90,111,134],"often":[60],"evaluated":[61],"using":[62],"standard":[63],"datasets":[64],"like":[65],"UNSW-NB15":[66],"TON_IoT.":[68],"Gradient":[69],"Boosted":[70],"Decision":[71],"Tree":[72],"(GBDT)":[73],"have":[75],"been":[76],"used":[78],"by":[79],"practitioners":[80],"due":[85],"their":[87],"superior":[88],"tabular":[91],"data":[92,127],"tasks.":[94],"In":[95],"this":[96],"study,":[97],"we":[98,114],"compare":[99],"three":[103],"select":[104],"deep":[105],"against":[108],"GBDT":[109],"NIDS.":[112,135],"Specifically,":[113],"study":[115],"Embedding":[119],"augmented":[120],"Multilayer":[121],"Perceptron":[122],"(MLP)":[123],"model":[124,132],"Tabular":[126],"adaptations":[128],"Image":[130],"architectures":[133]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}