{"id":"https://openalex.org/W4409762458","doi":"https://doi.org/10.1109/csicc65765.2025.10967427","title":"GenAtt NIDS Attack: A Practical Generative Adversarial Attack Against Network Intrusion Detection Systems","display_name":"GenAtt NIDS Attack: A Practical Generative Adversarial Attack Against Network Intrusion Detection Systems","publication_year":2025,"publication_date":"2025-02-05","ids":{"openalex":"https://openalex.org/W4409762458","doi":"https://doi.org/10.1109/csicc65765.2025.10967427"},"language":"en","primary_location":{"id":"doi:10.1109/csicc65765.2025.10967427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csicc65765.2025.10967427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 29th International Computer Conference, Computer Society of Iran (CSICC)","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/A5117292007","display_name":"Pouria Dadkhah","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Pouria Dadkhah","raw_affiliation_strings":["Electrical Engineering Sharif University of Technology,Tehran,Iran"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Sharif University of Technology,Tehran,Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026516020","display_name":"Siavash Ahmadi","orcid":"https://orcid.org/0000-0002-8801-337X"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Siavash Ahmadi","raw_affiliation_strings":["Electrical Engineering Sharif University of Technology,Tehran,Iran"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Sharif University of Technology,Tehran,Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028840314","display_name":"Mohammad Reza Aref","orcid":"https://orcid.org/0000-0002-4321-0345"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Reza Aref","raw_affiliation_strings":["Electrical Engineering Sharif University of Technology,Tehran,Iran"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Sharif University of Technology,Tehran,Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5117292007"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0957661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9965000152587891,"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":0.9965000152587891,"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":0.9879000186920166,"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/adversarial-system","display_name":"Adversarial system","score":0.8931775689125061},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7878274321556091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7637408971786499},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5839931964874268},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5669344663619995},{"id":"https://openalex.org/keywords/intrusion-prevention-system","display_name":"Intrusion prevention system","score":0.5395767688751221},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5220101475715637},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.4238697290420532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3445666432380676},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1123833954334259},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.061870962381362915}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8931775689125061},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7878274321556091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7637408971786499},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5839931964874268},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5669344663619995},{"id":"https://openalex.org/C27061796","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion prevention system","level":3,"score":0.5395767688751221},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5220101475715637},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.4238697290420532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3445666432380676},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1123833954334259},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.061870962381362915},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csicc65765.2025.10967427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csicc65765.2025.10967427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 29th International Computer Conference, Computer Society of Iran (CSICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2148143831","https://openalex.org/W2180612164","https://openalex.org/W2243397390","https://openalex.org/W2802196017","https://openalex.org/W2889836475","https://openalex.org/W2951911250","https://openalex.org/W2963857521","https://openalex.org/W4206117635","https://openalex.org/W4318815561","https://openalex.org/W4323038898","https://openalex.org/W4324284853","https://openalex.org/W4386601358"],"related_works":["https://openalex.org/W2392603527","https://openalex.org/W2390009783","https://openalex.org/W2348767155","https://openalex.org/W2388497169","https://openalex.org/W3120393658","https://openalex.org/W4283700121","https://openalex.org/W1496376327","https://openalex.org/W2357468538","https://openalex.org/W1513478798","https://openalex.org/W2133389611"],"abstract_inverted_index":{"Network":[0],"Intrusion":[1],"Detection":[2],"Systems":[3],"(NIDS)":[4],"have":[5],"made":[6],"tremendous":[7],"progress":[8],"by":[9,65],"combining":[10],"Deep":[11],"Learning":[12,16,102],"(DL)":[13],"and":[14,19,27,72,103,154],"Machine":[15],"(ML)":[17],"techniques,":[18],"they":[20],"currently":[21],"perform":[22],"well":[23],"against":[24],"both":[25],"known":[26],"unexpected":[28],"threats.":[29],"However,":[30],"because":[31],"of":[32,83,139,146],"intrinsic":[33],"flaws,":[34],"adversarial":[35,51,98],"attacks":[36],"may":[37],"reduce":[38],"their":[39],"detection":[40,64,122],"effectiveness.":[41],"In":[42],"this":[43],"study,":[44],"an":[45,128],"attention-based":[46],"generative":[47],"method":[48,125],"for":[49,92],"developing":[50],"assaults":[52],"utilizing":[53],"Generative":[54],"Adversarial":[55],"Networks":[56],"(GANs)":[57],"is":[58],"presented.":[59],"Our":[60],"approach":[61,148],"avoids":[62],"IDS":[63,121],"leveraging":[66],"attention":[67],"mechanisms'":[68],"sequential":[69],"memory":[70],"capabilities":[71],"producing":[73],"semantically":[74],"meaningful":[75,90],"modified":[76],"packets.":[77],"We":[78],"address":[79],"the":[80,140,144],"heterogeneous":[81],"nature":[82],"attack":[84,99],"packets":[85],"with":[86,100],"normalized":[87],"evaluation,":[88],"enabling":[89],"inferences":[91],"cybersecurity":[93],"experts.":[94],"Using":[95],"a":[96,108,116],"black-box":[97],"Active":[101],"request-and-answer":[104],"queries,":[105],"we":[106],"achieved":[107],"practical":[109],"analysis.":[110],"Compared":[111],"to":[112],"prior":[113],"work":[114],"showing":[115],"15.3":[117],"%":[118,138],"drop":[119],"in":[120,127,149],"rates,":[123],"our":[124,147],"resulted":[126],"11.3%":[129],"drop-a":[130],"slight":[131],"but":[132],"considerable":[133],"reduction-while":[134],"using":[135],"only":[136],"20":[137],"queries.":[141],"This":[142],"highlights":[143],"efficiency":[145],"reducing":[150],"anomalous":[151],"query":[152],"volumes":[153],"maintaining":[155],"realistic":[156],"network":[157],"presence.":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}