{"id":"https://openalex.org/W4406022445","doi":"https://doi.org/10.1145/3704522.3704541","title":"Intrusion Detection Using Convolutional Neural Network: A Color Mapping Approach on NSL-KDD Dataset","display_name":"Intrusion Detection Using Convolutional Neural Network: A Color Mapping Approach on NSL-KDD Dataset","publication_year":2024,"publication_date":"2024-12-19","ids":{"openalex":"https://openalex.org/W4406022445","doi":"https://doi.org/10.1145/3704522.3704541"},"language":"en","primary_location":{"id":"doi:10.1145/3704522.3704541","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704522.3704541","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Networking, Systems, and Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3704522.3704541","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115753821","display_name":"Md. Abrar Faiaz","orcid":null},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Md. Abrar Faiaz","raw_affiliation_strings":["Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109384360","display_name":"Dipankar Mitra","orcid":null},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Dipankar Mitra","raw_affiliation_strings":["Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115648226","display_name":"Ranat Das Prangon","orcid":"https://orcid.org/0009-0001-5593-8384"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Ranat Das Prangon","raw_affiliation_strings":["Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115753821"],"corresponding_institution_ids":["https://openalex.org/I183697816"],"apc_list":null,"apc_paid":null,"fwci":1.0483,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80105125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"154","last_page":"162"},"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":0.9977999925613403,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9915000200271606,"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/computer-science","display_name":"Computer science","score":0.8128326535224915},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7871729135513306},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5715944766998291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5213322043418884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4837687015533447},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3701411187648773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128326535224915},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7871729135513306},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5715944766998291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5213322043418884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4837687015533447},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3701411187648773}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3704522.3704541","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704522.3704541","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Networking, Systems, and Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3704522.3704541","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704522.3704541","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Networking, Systems, and Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W433644524","https://openalex.org/W1591743417","https://openalex.org/W2089815659","https://openalex.org/W2099940443","https://openalex.org/W2194775991","https://openalex.org/W2250670532","https://openalex.org/W2331143823","https://openalex.org/W2732383329","https://openalex.org/W2776074343","https://openalex.org/W2789828921","https://openalex.org/W2799689634","https://openalex.org/W2910900901","https://openalex.org/W3016974523","https://openalex.org/W3047793363","https://openalex.org/W3048436360","https://openalex.org/W3090834577","https://openalex.org/W3160611354","https://openalex.org/W4281866366","https://openalex.org/W4288070309","https://openalex.org/W4387871646","https://openalex.org/W4390146777","https://openalex.org/W4394565348","https://openalex.org/W4394787296","https://openalex.org/W4394858278","https://openalex.org/W4395664032","https://openalex.org/W4396768380","https://openalex.org/W4396805831","https://openalex.org/W4396822685","https://openalex.org/W4396980126","https://openalex.org/W4398185852","https://openalex.org/W4399176852","https://openalex.org/W4399367790","https://openalex.org/W4399446810","https://openalex.org/W4399915021","https://openalex.org/W4400366714","https://openalex.org/W4400987902","https://openalex.org/W4401295443","https://openalex.org/W4401352096","https://openalex.org/W4401845853"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W2033914206","https://openalex.org/W2364419519","https://openalex.org/W2042327336","https://openalex.org/W2360767377","https://openalex.org/W2017948608","https://openalex.org/W2360951146"],"abstract_inverted_index":{"Converting":[0],"any":[1],"kind":[2],"of":[3,40,46,54,78,122,131,134,144,174],"data":[4,7,28],"to":[5,26,118],"image":[6,27,52],"can":[8,192],"make":[9],"the":[10,21,30,73,79,110,120,129,132,145,147,161,175],"dataset":[11,23,81,136,180],"suitable":[12],"for":[13,128,195],"Convolutional":[14],"Neural":[15],"Networks":[16],"(CNNs).":[17],"In":[18],"this":[19,135,190],"study,":[20],"NSL-KDD":[22,179],"was":[24,48,57,82,102,150,165],"converted":[25],"using":[29,35,59,152,155],"color":[31],"mapping":[32],"technique":[33],"and":[34,42,63],"CNN":[36,90,138],"a":[37],"good":[38,172],"accuracy":[39,162],"98.91%":[41],"aggregated":[43],"f1":[44],"score":[45],"0.91":[47],"achieved.":[49],"Here":[50],"an":[51,156],"representation":[53],"each":[55],"row":[56],"generated":[58],"both":[60],"Hue-Saturation-Value":[61],"(HSV)":[62],"Viridis":[64],"colormap.":[65],"Though":[66],"some":[67],"attack":[68,76],"types":[69],"were":[70,92],"misclassified":[71],"by":[72,94],"model,":[74],"no":[75],"sample":[77],"validation":[80],"classified":[83],"as":[84],"normal.":[85],"For":[86],"model":[87,176,191],"training,":[88],"five":[89,111],"architectures":[91,112,139],"evaluated":[93],"transfer":[95],"learning":[96,158],"from":[97],"their":[98],"pre-trained":[99],"weights.":[100],"It":[101,125],"found":[103,166],"that":[104,127],"ResNet18":[105,114],"performs":[106],"best":[107],"among":[108],"all":[109],"evaluated.":[113],"uses":[115],"1x1":[116],"convolution":[117],"reduce":[119],"number":[121],"parameters":[123],"used.":[124],"means":[126],"classification":[130],"colormap":[133],"complex":[137],"are":[140],"not":[141],"necessary.":[142],"Fine-tuning":[143],"ResNet18,":[146],"best-performing":[148],"architecture,":[149],"done":[151],"50":[153],"epochs":[154,170],"optimal":[157],"rate.":[159],"However,":[160],"mentioned":[163],"above":[164],"only":[167],"after":[168],"4":[169],"demonstrating":[171],"efficiency":[173],"training.":[177],"The":[178],"contains":[181],"information":[182],"about":[183],"network":[184],"intrusion":[185,196],"in":[186],"tabular":[187],"format.":[188],"Hence,":[189],"be":[193],"used":[194],"detection":[197],"purposes.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}