{"id":"https://openalex.org/W4408779467","doi":"https://doi.org/10.1109/ton.2025.3546735","title":"<i>\u201cOne Model Fits All Nodes\u201d</i>: Neuron Activation Pattern Analysis-Based Attack Traffic Detection Framework for P2P Networks","display_name":"<i>\u201cOne Model Fits All Nodes\u201d</i>: Neuron Activation Pattern Analysis-Based Attack Traffic Detection Framework for P2P Networks","publication_year":2025,"publication_date":"2025-03-24","ids":{"openalex":"https://openalex.org/W4408779467","doi":"https://doi.org/10.1109/ton.2025.3546735"},"language":"en","primary_location":{"id":"doi:10.1109/ton.2025.3546735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ton.2025.3546735","pdf_url":null,"source":{"id":"https://openalex.org/S5407042750","display_name":"IEEE Transactions on Networking","issn_l":"2998-4157","issn":["2998-4157"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Networking","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/A5101031779","display_name":"Songsong Xu","orcid":"https://orcid.org/0009-0009-6437-9551"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songsong Xu","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-6437-9551","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072990224","display_name":"Chuanpu Fu","orcid":"https://orcid.org/0000-0003-4568-6125"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanpu Fu","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350165","display_name":"Qi Li","orcid":"https://orcid.org/0000-0001-8776-8730"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8776-8730","affiliations":[{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100665814","display_name":"Ke Xu","orcid":"https://orcid.org/0000-0003-2587-8517"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xu","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2587-8517","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.0929,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86659751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"33","issue":"4","first_page":"1630","last_page":"1645"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9925000071525574,"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":0.9925000071525574,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9429000020027161,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9189000129699707,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6231065392494202},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3921911120414734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3377212882041931}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6231065392494202},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3921911120414734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3377212882041931}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ton.2025.3546735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ton.2025.3546735","pdf_url":null,"source":{"id":"https://openalex.org/S5407042750","display_name":"IEEE Transactions on Networking","issn_l":"2998-4157","issn":["2998-4157"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4818684285","display_name":null,"funder_award_id":"U22B2031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5490738932","display_name":null,"funder_award_id":"62425201","funder_id":"https://openalex.org/F4320334953","funder_display_name":"China National Funds for Distinguished Young Scientists"},{"id":"https://openalex.org/G7155321176","display_name":null,"funder_award_id":"62132011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7488493096","display_name":null,"funder_award_id":"62221003","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"},{"id":"https://openalex.org/F4320334953","display_name":"China National Funds for Distinguished Young Scientists","ror":"https://ror.org/01pab2602"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1985987493","https://openalex.org/W2038548714","https://openalex.org/W2040424958","https://openalex.org/W2111942706","https://openalex.org/W2114996745","https://openalex.org/W2130583399","https://openalex.org/W2157949690","https://openalex.org/W2158880761","https://openalex.org/W2611050176","https://openalex.org/W2767094836","https://openalex.org/W2767323255","https://openalex.org/W2768883253","https://openalex.org/W2783301790","https://openalex.org/W2789780249","https://openalex.org/W2896457183","https://openalex.org/W2963197901","https://openalex.org/W2973936959","https://openalex.org/W2981181114","https://openalex.org/W2986291326","https://openalex.org/W2986944522","https://openalex.org/W2988337058","https://openalex.org/W2989148126","https://openalex.org/W2998038410","https://openalex.org/W3007265242","https://openalex.org/W3008176860","https://openalex.org/W3008207353","https://openalex.org/W3015248254","https://openalex.org/W3015486462","https://openalex.org/W3045898733","https://openalex.org/W3047608117","https://openalex.org/W3082884087","https://openalex.org/W3128341305","https://openalex.org/W3136284412","https://openalex.org/W3173162515","https://openalex.org/W3173170122","https://openalex.org/W3200583622","https://openalex.org/W3211494975","https://openalex.org/W3212591162","https://openalex.org/W3212980631","https://openalex.org/W3214441905","https://openalex.org/W3216105720","https://openalex.org/W4213426662","https://openalex.org/W4226466613","https://openalex.org/W4285224718","https://openalex.org/W4288079251","https://openalex.org/W4290714064","https://openalex.org/W4290991228","https://openalex.org/W4308632271","https://openalex.org/W4308632297","https://openalex.org/W4311118481","https://openalex.org/W4324007065","https://openalex.org/W4324007233","https://openalex.org/W4385080294","https://openalex.org/W4388867311","https://openalex.org/W4390874575","https://openalex.org/W6610362903","https://openalex.org/W6630417872","https://openalex.org/W6677217071","https://openalex.org/W6685992501","https://openalex.org/W6720824080","https://openalex.org/W6723978441","https://openalex.org/W6736057607","https://openalex.org/W6763986627","https://openalex.org/W6767007581","https://openalex.org/W6767080193","https://openalex.org/W6776440900","https://openalex.org/W6776693929","https://openalex.org/W6784472380","https://openalex.org/W6794006112","https://openalex.org/W6794336151","https://openalex.org/W6795076093","https://openalex.org/W6802458776","https://openalex.org/W6809934879","https://openalex.org/W7000447106"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"(ML)":[2],"based":[3,115,209],"network":[4,20,219],"attack":[5,73,116,210],"traffic":[6,55,67,106,117,134,164],"detection":[7,43,118,211,224,248],"is":[8,14,92,233,250],"an":[9],"emerging":[10],"security":[11,32],"paradigm,":[12],"which":[13,99],"capable":[15,251],"of":[16,26,86,104,163,188,217,252],"capturing":[17],"various":[18,53,148,236],"advanced":[19],"attacks":[21],"according":[22,183],"to":[23,34,51,89,120,159,174,184],"the":[24,61,83,145,161,189],"features":[25],"traffic.":[27],"When":[28],"leveraging":[29],"such":[30,140],"promising":[31],"application":[33],"protect":[35,121],"P2P":[36,97,218],"services,":[37],"particularly":[38],"distributed":[39,122,262],"cryptocurrency":[40],"systems,":[41,212],"one":[42],"model":[44,155,170],"should":[45],"be":[46],"deployed":[47],"on":[48,107,147,194],"many":[49,258],"nodes":[50,59,197,259],"handle":[52],"unseen":[54,64,133],"patterns":[56,68,187],"generated":[57,256],"by":[58,132,180,240,257],"around":[60],"world.":[62],"However,":[63],"yet":[65],"benign":[66],"are":[69],"commonly":[70],"classified":[71],"as":[72],"traffic,":[74],"and":[75,249],"thus":[76],"trigger":[77],"massive":[78,254],"false-positive":[79],"(FP)":[80],"alarms.":[81],"Unfortunately,":[82],"common":[84],"practice":[85],"retraining":[87],"models":[88,182],"reduce":[90,202],"FPs":[91,130,176,255],"not":[93],"salable":[94],"for":[95,205],"large-scale":[96,261],"networks,":[98,123],"incurs":[100],"prohibitive":[101],"labor":[102],"efforts":[103],"collecting":[105],"each":[108],"node":[109],"individually.":[110],"To":[111],"effectively":[112],"deploy":[113],"ML":[114,181,208],"systems":[119],"we":[124,151,167],"present":[125],"tNeuron":[126,200,232],"that":[127,141,171,199],"automatically":[128],"identifies":[129],"triggered":[131],"via":[135],"neuron":[136,185],"activation":[137,186],"pattern":[138],"analysis,":[139],"it":[142,245],"significantly":[143,222],"improves":[144],"performance":[146],"nodes.":[149],"Specifically,":[150],"construct":[152],"a":[153,169],"shadow":[154,190],"with":[156],"Transformer":[157],"encoders":[158],"extract":[160],"knowledge":[162],"patterns.":[165],"Afterward,":[166],"train":[168],"learns":[172],"how":[173],"classify":[175],"among":[177],"alarms":[178],"raised":[179],"model.":[191],"Our":[192],"experiments":[193],"real":[195],"Ethereum":[196],"show":[198],"can":[201],"83.40%":[203],"FP":[204],"seven":[206],"state-of-the-art":[207],"when":[213],"detecting":[214],"15":[215],"kinds":[216],"attacks,":[220],"thereby":[221],"improving":[223],"accuracy":[225],"in":[226,260],"nine":[227],"different":[228],"metrics.":[229],"In":[230],"addition,":[231],"robust":[234],"against":[235],"adversarial":[237],"examples":[238],"constructed":[239],"existing":[241],"evasion":[242],"attacks.":[243],"Besides,":[244],"achieves":[246],"real-time":[247],"handling":[253],"networks.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}