{"id":"https://openalex.org/W4389700723","doi":"https://doi.org/10.1145/3629188.3629189","title":"A Deep Learning Based Semi-Supervised Network Intrusion Detection System Robust to Adversarial Attacks","display_name":"A Deep Learning Based Semi-Supervised Network Intrusion Detection System Robust to Adversarial Attacks","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4389700723","doi":"https://doi.org/10.1145/3629188.3629189"},"language":"en","primary_location":{"id":"doi:10.1145/3629188.3629189","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3629188.3629189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th International Conference on Networking, Systems and Security","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/A5086609172","display_name":"Syed Md. Mukit Rashid","orcid":"https://orcid.org/0009-0007-2831-879X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Syed Md. Mukit Rashid","raw_affiliation_strings":["Department of Computer Science and Engineering, Pennsylvania State University, USA"],"raw_orcid":"https://orcid.org/0009-0007-2831-879X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Pennsylvania State University, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037232111","display_name":"Md. Toufikuzzaman","orcid":"https://orcid.org/0000-0003-4267-5156"},"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":"Md. Toufikuzzaman","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0003-4267-5156","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069844849","display_name":"Md. Shohrab Hossain","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":"Md. Shohrab Hossain","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-4612-6771","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086609172"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.787,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74830475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"34"},"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":0.9987999796867371,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9976000189781189,"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":0.8148758411407471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7698805332183838},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6664191484451294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6281000375747681},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6215615272521973},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5977880954742432},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5894320607185364},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5719879269599915},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5525515079498291},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5191651582717896},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5019149780273438},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4841621518135071},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4355127811431885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40028271079063416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35681015253067017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8148758411407471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7698805332183838},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6664191484451294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6281000375747681},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6215615272521973},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5977880954742432},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5894320607185364},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5719879269599915},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5525515079498291},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5191651582717896},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5019149780273438},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4841621518135071},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4355127811431885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40028271079063416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35681015253067017},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3629188.3629189","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3629188.3629189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th International Conference on Networking, Systems and Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1563088657","https://openalex.org/W2099940443","https://openalex.org/W2299467264","https://openalex.org/W2346714907","https://openalex.org/W2535159308","https://openalex.org/W2762776925","https://openalex.org/W2783741806","https://openalex.org/W2790513427","https://openalex.org/W2904539465","https://openalex.org/W2908403421","https://openalex.org/W2913330314","https://openalex.org/W2926701059","https://openalex.org/W2963564844","https://openalex.org/W3012981875","https://openalex.org/W4238002057","https://openalex.org/W4399176852","https://openalex.org/W6888894352"],"related_works":["https://openalex.org/W1586607209","https://openalex.org/W122912556","https://openalex.org/W4312414840","https://openalex.org/W2621411691","https://openalex.org/W2271357838","https://openalex.org/W2556866732","https://openalex.org/W2328989934","https://openalex.org/W2348322200","https://openalex.org/W2981952041","https://openalex.org/W3148060700"],"abstract_inverted_index":{"Network":[0,188],"intrusion":[1],"detection":[2,207],"systems":[3],"(NIDS)":[4],"are":[5,39,61],"used":[6],"to":[7,63,66,99,153,215],"detect":[8],"abnormal":[9],"behavior":[10],"in":[11],"network":[12],"traffic,":[13],"which":[14,30,84],"is":[15,151],"vital":[16],"for":[17,28],"secure":[18],"communication.":[19],"Recently,":[20],"deep":[21,57,80],"learning":[22,43,58,81,157],"based":[23,40,59,82,113,125,189],"solutions":[24],"have":[25,167],"been":[26],"adopted":[27],"NIDS":[29,196],"suffer":[31],"from":[32,53],"two":[33],"main":[34],"problems.":[35],"Most":[36],"of":[37,103,138,148,173,212],"them":[38],"on":[41,114,134],"supervised":[42,156],"and":[44,77,89,107,116,128,159,185],"cannot":[45],"utilize":[46,86],"the":[47,104,139,146,170,177,210],"information":[48],"that":[49,145,199],"can":[50,85],"be":[51,64],"obtained":[52],"unlabeled":[54,90,105],"data.":[55],"Also,":[56],"methods":[60],"shown":[62],"vulnerable":[65],"adversarial":[67,171,206,216],"attacks.":[68,217],"In":[69],"this":[70],"paper,":[71],"we":[72,166],"propose":[73],"a":[74,110],"novel":[75],"semi-supervised":[76,163],"adversarially":[78],"robust":[79],"approach":[83],"both":[87],"labeled":[88,115,118],"training":[91],"samples.":[92,119],"Our":[93,142],"IDS":[94],"first":[95],"performs":[96],"K-Means":[97],"clustering":[98],"soft":[100,117],"label":[101],"part":[102],"data":[106],"then":[108,121],"obtain":[109],"decision":[111,140],"tree":[112],"It":[120],"pretrains":[122],"an":[123],"autoencoder":[124],"multi-layer":[126,132],"perceptron":[127],"later":[129],"learns":[130],"separate":[131],"perceptrons":[133],"each":[135],"individual":[136],"leaf":[137],"tree.":[141],"results":[143],"show":[144,198],"performance":[147],"our":[149,174,200,213],"system":[150,214],"comparable":[152],"state-of-the":[154],"art":[155],"approaches":[158],"outperforms":[160],"existing":[161],"state-of-the-art":[162,195],"NIDS.":[164],"Furthermore,":[165],"extensively":[168],"tested":[169],"robustness":[172,211],"method":[175],"using":[176],"popular":[178],"blackbox":[179],"Fast":[180],"Gradient":[181],"Sign":[182],"Method":[183],"(FGSM)":[184],"Generative":[186],"Adversarial":[187],"IDSGAN":[190],"approaches.":[191],"Comparisons":[192],"with":[193],"other":[194],"baselines":[197],"proposed":[201],"mechanism":[202],"provides":[203],"significantly":[204],"higher":[205],"rates,":[208],"proving":[209]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}