{"id":"https://openalex.org/W4415124405","doi":"https://doi.org/10.1109/icnp65844.2025.11192369","title":"Poster: Generative Resilient Network Architecture in Untrusted Network Environments","display_name":"Poster: Generative Resilient Network Architecture in Untrusted Network Environments","publication_year":2025,"publication_date":"2025-09-22","ids":{"openalex":"https://openalex.org/W4415124405","doi":"https://doi.org/10.1109/icnp65844.2025.11192369"},"language":"en","primary_location":{"id":"doi:10.1109/icnp65844.2025.11192369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp65844.2025.11192369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 33rd International Conference on Network Protocols (ICNP)","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/A5119600405","display_name":"Haisong Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haisong Bi","raw_affiliation_strings":["Fudan University,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003998216","display_name":"Jin Zhao","orcid":"https://orcid.org/0000-0002-9807-2648"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Zhao","raw_affiliation_strings":["Fudan University,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038317164","display_name":"Kun Qiu","orcid":"https://orcid.org/0000-0002-4873-0614"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Qiu","raw_affiliation_strings":["Fudan University,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019949140","display_name":"Tao Jia","orcid":"https://orcid.org/0000-0002-2337-2857"},"institutions":[{"id":"https://openalex.org/I4210114608","display_name":"Songshan Lake Materials Laboratory","ror":"https://ror.org/020vtf184","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210114608","https://openalex.org/I4210137180","https://openalex.org/I4210159876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiezhen Jia","raw_affiliation_strings":["Songshan Laboratory,Zhengzhou,China"],"affiliations":[{"raw_affiliation_string":"Songshan Laboratory,Zhengzhou,China","institution_ids":["https://openalex.org/I4210114608"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423421","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0001-7288-9150"},"institutions":[{"id":"https://openalex.org/I4210114608","display_name":"Songshan Lake Materials Laboratory","ror":"https://ror.org/020vtf184","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210114608","https://openalex.org/I4210137180","https://openalex.org/I4210159876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Songshan Laboratory,Zhengzhou,China"],"affiliations":[{"raw_affiliation_string":"Songshan Laboratory,Zhengzhou,China","institution_ids":["https://openalex.org/I4210114608"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5119600405"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35954493,"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":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.95660001039505,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.95660001039505,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9513999819755554,"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":0.907800018787384,"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/resilience","display_name":"Resilience (materials science)","score":0.6383000016212463},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5985999703407288},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5116000175476074},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4431999921798706},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.43639999628067017},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4146000146865845},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3993000090122223},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3855000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7534000277519226},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.6383000016212463},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5985999703407288},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5461999773979187},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5116000175476074},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4453999996185303},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4146000146865845},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3855000138282776},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36309999227523804},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34139999747276306},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.33970001339912415},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C3017813396","wikidata":"https://www.wikidata.org/wiki/Q17078173","display_name":"Resource constraints","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnp65844.2025.11192369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp65844.2025.11192369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 33rd International Conference on Network Protocols (ICNP)","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":1,"referenced_works":["https://openalex.org/W4405183144"],"related_works":[],"abstract_inverted_index":{"In":[0],"adversarial":[1,56],"and":[2,11,21,45,64,71],"untrusted":[3],"network":[4],"environments":[5],"characterized":[6],"by":[7],"strict":[8],"traffic":[9],"controls":[10],"infrastructure":[12],"surveillance,":[13],"communications":[14],"face":[15],"persistent":[16],"threats":[17],"to":[18,52],"reliability,":[19],"security,":[20],"accessibility.":[22],"To":[23],"counter":[24],"these":[25],"challenges,":[26],"we":[27],"present":[28],"the":[29],"Generative":[30],"Resilient":[31],"Network":[32],"(GRN),":[33],"a":[34],"three-layer":[35],"architecture":[36],"that":[37],"combines":[38],"cloud-based":[39],"resource":[40],"agility,":[41],"hybrid":[42],"secure":[43],"transmission,":[44],"large":[46],"language":[47],"model":[48],"(LLM)-driven":[49],"adaptive":[50],"control":[51],"maintain":[53],"connectivity":[54],"under":[55],"conditions.":[57],"Preliminary":[58],"experiments":[59],"demonstrate":[60],"GRN\u2019s":[61],"scalability,":[62],"robustness,":[63],"resilience":[65],"against":[66],"interference":[67],"across":[68],"both":[69],"low-latency":[70],"high-anonymity":[72],"scenarios.":[73]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-14T00:00:00"}