{"id":"https://openalex.org/W2016707451","doi":"https://doi.org/10.1109/tifs.2014.2316975","title":"SybilBelief: A Semi-Supervised Learning Approach for Structure-Based Sybil Detection","display_name":"SybilBelief: A Semi-Supervised Learning Approach for Structure-Based Sybil Detection","publication_year":2014,"publication_date":"2014-04-11","ids":{"openalex":"https://openalex.org/W2016707451","doi":"https://doi.org/10.1109/tifs.2014.2316975","mag":"2016707451"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2014.2316975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2014.2316975","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Transactions on Information Forensics and Security","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1312.5035","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009102659","display_name":"Neil Zhenqiang Gong","orcid":"https://orcid.org/0000-0002-9900-9309"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Zhenqiang Gong","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, USA","Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074477294","display_name":"Mario Frank","orcid":"https://orcid.org/0000-0001-8888-7475"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mario Frank","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, USA","Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015619835","display_name":"Prateek Mittal","orcid":"https://orcid.org/0000-0002-4057-0118"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prateek Mittal","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":26.2525,"has_fulltext":false,"cited_by_count":189,"citation_normalized_percentile":{"value":0.99429817,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"9","issue":"6","first_page":"976","last_page":"987"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9936000108718872,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.5544803738594055},{"id":"https://openalex.org/keywords/sybil-attack","display_name":"Sybil attack","score":0.41100144386291504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4020087420940399},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33071351051330566},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11131590604782104},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.09270638227462769}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5544803738594055},{"id":"https://openalex.org/C2777505653","wikidata":"https://www.wikidata.org/wiki/Q4470796","display_name":"Sybil attack","level":3,"score":0.41100144386291504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4020087420940399},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33071351051330566},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11131590604782104},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.09270638227462769}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tifs.2014.2316975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2014.2316975","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Transactions on Information Forensics and Security","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1312.5035","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1312.5035","pdf_url":"https://arxiv.org/pdf/1312.5035","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.650.2976","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.650.2976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.berkeley.edu/~stevgong/papers/SybilBelief.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.724.9908","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.724.9908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://home.engineering.iastate.edu/%7Eneilgong/papers/SybilBelief.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.749.3047","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.749.3047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1312.5035.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1312.5035","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1312.5035","pdf_url":"https://arxiv.org/pdf/1312.5035","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1520914943","https://openalex.org/W1551760018","https://openalex.org/W1560267311","https://openalex.org/W1560512119","https://openalex.org/W1574901103","https://openalex.org/W1587819022","https://openalex.org/W1594972289","https://openalex.org/W1671965234","https://openalex.org/W1912982817","https://openalex.org/W1973556323","https://openalex.org/W1980452149","https://openalex.org/W1989643196","https://openalex.org/W1989934416","https://openalex.org/W2000042664","https://openalex.org/W2008620264","https://openalex.org/W2047443612","https://openalex.org/W2054102603","https://openalex.org/W2065301447","https://openalex.org/W2066636486","https://openalex.org/W2099399367","https://openalex.org/W2100960788","https://openalex.org/W2101890615","https://openalex.org/W2110801527","https://openalex.org/W2111708605","https://openalex.org/W2115022330","https://openalex.org/W2118765159","https://openalex.org/W2120111750","https://openalex.org/W2124142520","https://openalex.org/W2127503167","https://openalex.org/W2131716537","https://openalex.org/W2136486572","https://openalex.org/W2139144138","https://openalex.org/W2142772221","https://openalex.org/W2144780381","https://openalex.org/W2150941206","https://openalex.org/W2153204928","https://openalex.org/W2153644028","https://openalex.org/W2156523427","https://openalex.org/W2159080219","https://openalex.org/W2163764145","https://openalex.org/W2163898372","https://openalex.org/W2168508162","https://openalex.org/W2397135192","https://openalex.org/W2403863121","https://openalex.org/W2543954993","https://openalex.org/W2949114735","https://openalex.org/W2952076207","https://openalex.org/W2963817922","https://openalex.org/W3103362336","https://openalex.org/W3152062380","https://openalex.org/W4232900735","https://openalex.org/W4254761308","https://openalex.org/W4312512934","https://openalex.org/W4394642978","https://openalex.org/W6630973029","https://openalex.org/W6633006935","https://openalex.org/W6633434192","https://openalex.org/W6633449523","https://openalex.org/W6637006203","https://openalex.org/W6662446920","https://openalex.org/W6676899233","https://openalex.org/W6682983404","https://openalex.org/W6684716366","https://openalex.org/W6711907643","https://openalex.org/W6713315540","https://openalex.org/W6863551786"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Sybil":[0,25,46,60,87,128,157,182,193,201],"attacks":[1],"are":[2],"a":[3,16,81,91,100,109],"fundamental":[4],"threat":[5],"to":[6,23,49,71,85,130,154,172],"the":[7,28,95,98,120,124,131,135],"security":[8],"of":[9,94,103,112,188],"distributed":[10],"systems.":[11],"Recently,":[12],"there":[13],"has":[14],"been":[15],"growing":[17],"interest":[18],"in":[19,52,97,134,174],"leveraging":[20],"social":[21,92,145],"networks":[22],"mitigate":[24],"attacks.":[26],"However,":[27],"existing":[29,192,200],"approaches":[30],"suffer":[31],"from":[32,39,123],"one":[33],"or":[34,44,59],"more":[35],"drawbacks,":[36],"including":[37],"bootstrapping":[38],"either":[40],"only":[41],"known":[42,45,57,104,113,125,179],"benign":[43,58,105,126,180],"nodes,":[47,61,106],"failing":[48],"tolerate":[50],"noise":[51,173],"their":[53],"prior":[54,176],"knowledge":[55,177],"about":[56,178],"and":[62,143,164,181,196],"not":[63],"being":[64],"scalable.":[65],"In":[66],"this":[67,76],"paper,":[68],"we":[69,78],"aim":[70],"overcome":[72],"these":[73],"drawbacks.":[74],"Toward":[75],"goal,":[77],"introduce":[79],"SybilBelief,":[80],"semi-supervised":[82],"learning":[83],"framework,":[84],"detect":[86],"nodes.":[88,183],"SybilBelief":[89,118,139,151,169,185],"takes":[90],"network":[93,146],"nodes":[96,129,133,158],"system,":[99],"small":[101,110],"set":[102,111],"and,":[107],"optionally,":[108],"Sybils":[114],"as":[115],"input.":[116],"Then,":[117],"propagates":[119],"label":[121],"information":[122],"and/or":[127],"remaining":[132],"system.":[136],"We":[137,148],"evaluate":[138],"using":[140],"both":[141],"synthetic":[142],"real-world":[144],"topologies.":[147],"show":[149],"that":[150],"is":[152,170],"able":[153],"accurately":[155],"identify":[156],"with":[159],"low":[160,165],"false":[161,166],"positive":[162],"rates":[163],"negative":[167],"rates.":[168],"resilient":[171],"our":[175],"Moreover,":[184],"performs":[186],"orders":[187],"magnitudes":[189],"better":[190,198],"than":[191,199],"classification":[194],"mechanisms":[195],"significantly":[197],"ranking":[202],"mechanisms.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":32},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}
