{"id":"https://openalex.org/W4416078314","doi":"https://doi.org/10.1109/mcom.001.2400251","title":"An Efficient RBF Neural Network-Based Method for Defending Against Collusive Interest Flooding Attacks in Named Data Networks","display_name":"An Efficient RBF Neural Network-Based Method for Defending Against Collusive Interest Flooding Attacks in Named Data Networks","publication_year":2025,"publication_date":"2025-11-10","ids":{"openalex":"https://openalex.org/W4416078314","doi":"https://doi.org/10.1109/mcom.001.2400251"},"language":null,"primary_location":{"id":"doi:10.1109/mcom.001.2400251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcom.001.2400251","pdf_url":null,"source":{"id":"https://openalex.org/S158797327","display_name":"IEEE Communications Magazine","issn_l":"0163-6804","issn":["0163-6804","1558-1896"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Magazine","raw_type":"journal-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/A5049399014","display_name":"Guanglin Xing","orcid":"https://orcid.org/0000-0002-8258-0293"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglin Xing","raw_affiliation_strings":["South-Central Minzu University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South-Central Minzu University,China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748681","display_name":"Wen\u2010Wei Li","orcid":"https://orcid.org/0000-0001-9280-0045"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlu Li","raw_affiliation_strings":["South-Central Minzu University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South-Central Minzu University,China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010636698","display_name":"Rui Hou","orcid":"https://orcid.org/0000-0002-0348-8772"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Hou","raw_affiliation_strings":["South-Central Minzu University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South-Central Minzu University,China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061453937","display_name":"Mianxiong Dong","orcid":"https://orcid.org/0000-0002-2788-3451"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mianxiong Dong","raw_affiliation_strings":["Muroran Institute of Technology,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology,Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106707877","display_name":"Kaoru Ota","orcid":"https://orcid.org/0000-0002-3382-1652"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaoru Ota","raw_affiliation_strings":["Muroran Institute of Technology,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology,Japan","institution_ids":["https://openalex.org/I41725924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34759397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"64","issue":"1","first_page":"64","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.8666999936103821,"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/T11478","display_name":"Caching and Content Delivery","score":0.8666999936103821,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.04729999974370003,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.006099999882280827,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/flooding","display_name":"Flooding (psychology)","score":0.6624000072479248},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6504999995231628},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6043000221252441},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.49729999899864197},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4553000032901764},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.3741999864578247},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.37040001153945923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9003000259399414},{"id":"https://openalex.org/C186594467","wikidata":"https://www.wikidata.org/wiki/Q1429176","display_name":"Flooding (psychology)","level":2,"score":0.6624000072479248},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6504999995231628},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6043000221252441},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.49729999899864197},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4553000032901764},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4429999887943268},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37529999017715454},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.3741999864578247},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.36640000343322754},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.3443000018596649},{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.3102000057697296},{"id":"https://openalex.org/C2781251061","wikidata":"https://www.wikidata.org/wiki/Q5416089","display_name":"Evasion (ethics)","level":3,"score":0.28119999170303345},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C2983203078","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Information gain","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C2780741293","wikidata":"https://www.wikidata.org/wiki/Q4818019","display_name":"Attack patterns","level":3,"score":0.25130000710487366},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mcom.001.2400251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcom.001.2400251","pdf_url":null,"source":{"id":"https://openalex.org/S158797327","display_name":"IEEE Communications Magazine","issn_l":"0163-6804","issn":["0163-6804","1558-1896"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3504260174","display_name":null,"funder_award_id":"62372479,61972424","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2781588923","https://openalex.org/W2912560663","https://openalex.org/W2914495552","https://openalex.org/W2941916044","https://openalex.org/W2974534033","https://openalex.org/W3009884292","https://openalex.org/W3024945243","https://openalex.org/W3042957169","https://openalex.org/W3043002815","https://openalex.org/W3132022881","https://openalex.org/W3158118057","https://openalex.org/W4285204590","https://openalex.org/W4384009563"],"related_works":[],"abstract_inverted_index":{"Named":[0],"data":[1],"networks":[2,12],"(NDNs),":[3],"as":[4,123],"one":[5],"of":[6,52,63,68,171,191],"the":[7,32,48,61,66,75,81,120,124,149,178,185],"standards":[8],"for":[9],"information":[10],"center":[11],"(ICNs),":[13],"have":[14,100],"attracted":[15],"substantial":[16],"attention":[17],"in":[18,47,60,189],"recent":[19],"years":[20],"due":[21,110],"to":[22,89,111,147],"their":[23],"efficient":[24],"forwarding":[25,50],"mechanisms.":[26],"However,":[27,109],"like":[28],"other":[29],"communication":[30],"networks,":[31],"NDNs":[33],"also":[34],"face":[35],"certain":[36],"cybersecurity-related":[37],"problems.":[38],"The":[39,154,173],"collusive":[40,57,70],"Interest":[41,58,82],"flooding":[42,83],"attacks":[43,84],"(CIFAs)":[44],"exploit":[45],"flaws":[46],"internal":[49],"mechanism":[51],"an":[53],"NDN":[54],"and":[55,86,106,164,195],"send":[56],"packets":[59],"form":[62],"pulses":[64],"with":[65],"assistance":[67],"a":[69,73,133,139],"Producer.":[71],"As":[72],"result,":[74],"CIFAs":[76,115],"are":[77],"less":[78],"detectable":[79],"than":[80,184],"(IFAs)":[85],"more":[87],"difficult":[88],"distinguish":[90,160],"from":[91],"normal":[92],"traffic.":[93],"Many":[94],"research":[95],"solutions":[96],"targeting":[97],"traditional":[98],"IFAs":[99],"been":[101],"proposed,":[102],"achieving":[103],"good":[104],"detection":[105,135,156,170,187,193],"defense":[107],"results.":[108],"different":[112],"attack":[113,192],"principles,":[114],"cannot":[116],"be":[117],"detected":[118],"using":[119],"same":[121],"scheme":[122,136,157],"IFAs.":[125],"To":[126],"address":[127],"this":[128,130],"limitation,":[129],"study":[131],"proposes":[132],"CIFA":[134],"that":[137,177],"employs":[138],"radial":[140],"basis":[141],"function":[142],"(RBF)":[143],"neural":[144],"network-based":[145],"algorithm":[146],"recognize":[148],"extracted":[150],"network":[151],"traffic":[152,165],"features.":[153],"proposed":[155,179],"can":[158],"accurately":[159],"between":[161],"normal,":[162],"malicious,":[163],"fluctuation":[166],"states,":[167],"enabling":[168],"rapid":[169],"CIFAs.":[172],"simulation":[174],"results":[175],"show":[176],"method":[180],"performs":[181],"considerably":[182],"better":[183],"existing":[186],"methods":[188],"terms":[190],"accuracy":[194],"false":[196],"positives.":[197]},"counts_by_year":[],"updated_date":"2026-01-15T23:16:33.117629","created_date":"2025-11-10T00:00:00"}
