{"id":"https://openalex.org/W2764040154","doi":"https://doi.org/10.1109/infocom.2017.8057066","title":"SybilSCAR: Sybil detection in online social networks via local rule based propagation","display_name":"SybilSCAR: Sybil detection in online social networks via local rule based propagation","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2764040154","doi":"https://doi.org/10.1109/infocom.2017.8057066","mag":"2764040154"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2017.8057066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2017.8057066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2017 - IEEE Conference on Computer Communications","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/A5101789833","display_name":"Binghui Wang","orcid":"https://orcid.org/0000-0001-5616-060X"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Binghui Wang","raw_affiliation_strings":["ECE Department, Iowa State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Iowa State University","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350625","display_name":"Le Zhang","orcid":"https://orcid.org/0000-0002-3708-1727"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Le Zhang","raw_affiliation_strings":["ECE Department, Iowa State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Iowa State University","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009102659","display_name":"Neil Zhenqiang Gong","orcid":"https://orcid.org/0000-0002-9900-9309"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Zhenqiang Gong","raw_affiliation_strings":["ECE Department, Iowa State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Iowa State University","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":24.8132,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.9951005,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"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":1.0,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9958999752998352,"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/leverage","display_name":"Leverage (statistics)","score":0.7952282428741455},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7737743854522705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7548434734344482},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.5877037048339844},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5040387511253357},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4405021667480469},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44029557704925537},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4255189895629883},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3904697299003601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3887191116809845},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24694880843162537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11539283394813538}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7952282428741455},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7737743854522705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7548434734344482},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.5877037048339844},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5040387511253357},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4405021667480469},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44029557704925537},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4255189895629883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3904697299003601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3887191116809845},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24694880843162537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11539283394813538},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2017.8057066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2017.8057066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2017 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W9223698","https://openalex.org/W1492581097","https://openalex.org/W1506342804","https://openalex.org/W1551760018","https://openalex.org/W1573258035","https://openalex.org/W1671965234","https://openalex.org/W1781642226","https://openalex.org/W1989643196","https://openalex.org/W1993081839","https://openalex.org/W1996802155","https://openalex.org/W2008620264","https://openalex.org/W2016707451","https://openalex.org/W2045775870","https://openalex.org/W2047443612","https://openalex.org/W2054102603","https://openalex.org/W2073942547","https://openalex.org/W2074835059","https://openalex.org/W2090212887","https://openalex.org/W2092277251","https://openalex.org/W2101196063","https://openalex.org/W2101890615","https://openalex.org/W2118765159","https://openalex.org/W2119821739","https://openalex.org/W2120111750","https://openalex.org/W2124142520","https://openalex.org/W2125490153","https://openalex.org/W2127503167","https://openalex.org/W2139144138","https://openalex.org/W2142772221","https://openalex.org/W2150941206","https://openalex.org/W2153204928","https://openalex.org/W2153644028","https://openalex.org/W2159080219","https://openalex.org/W2163764145","https://openalex.org/W2163898372","https://openalex.org/W2168508162","https://openalex.org/W2407789839","https://openalex.org/W2963817922","https://openalex.org/W4239510810","https://openalex.org/W4240443285","https://openalex.org/W6633006935","https://openalex.org/W6637006203","https://openalex.org/W6638049533","https://openalex.org/W6669121539","https://openalex.org/W6673131285","https://openalex.org/W6684716366","https://openalex.org/W6713944591"],"related_works":["https://openalex.org/W1597743604","https://openalex.org/W2038723108","https://openalex.org/W2389214306","https://openalex.org/W2033630974","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W4245069437","https://openalex.org/W2325737604"],"abstract_inverted_index":{"Detecting":[0],"Sybils":[1,17,58,195],"in":[2,101],"online":[3],"social":[4,160,198],"networks":[5],"(OSNs)":[6],"is":[7,116,209,227,239],"a":[8,93,128,147,159,165,183,188],"fundamental":[9],"security":[10],"research":[11,245],"problem":[12],"as":[13,144],"adversaries":[14],"can":[15,37,141],"leverage":[16,56],"to":[18,28,74,97,122,130,151,173,176,215,241],"perform":[19,98],"various":[20],"malicious":[21],"activities.":[22],"Structure-based":[23],"methods":[24,36,46,54,78,109,140],"have":[25,250],"been":[26],"shown":[27],"be":[29,38,142],"promising":[30],"at":[31],"detecting":[32],"Sybils.":[33,178,203],"Existing":[34],"structure-based":[35,95],"classified":[39],"into":[40],"two":[41],"categories:":[42],"Random":[43],"Walk":[44],"(RW)-based":[45],"and":[47,59,69,82,120,133,187,196,212,224,238],"Loop":[48],"Belief":[49],"Propagation":[50],"(LBP)-based":[51],"methods.":[52,135],"RW-based":[53,132,185,222],"cannot":[55,84],"labeled":[57,60],"benign":[61],"users":[62],"simultaneously,":[63],"which":[64,154,169],"limits":[65],"their":[66,112],"detection":[67,100],"accuracy,":[68],"they":[70,83],"are":[71,79],"not":[72,80],"robust":[73,214],"noisy":[75],"labels.":[76],"LBP-based":[77,134,190,236],"scalable,":[81],"guarantee":[85],"convergence.":[86],"In":[87],"this":[88],"work,":[89],"we":[90,163,249],"propose":[91,127],"SybilSCAR,":[92],"new":[94,166],"method":[96,186,237],"Sybil":[99,247],"OSNs.":[102],"SybilSCAR":[103,115,170,181,208,226,255],"maintains":[104],"the":[105,219,234],"advantages":[106],"of":[107,229,254],"existing":[108],"while":[110],"overcoming":[111],"limitations.":[113],"Specifically,":[114],"Scalable,":[117],"Convergent,":[118],"Accurate,":[119],"Robust":[121],"label":[123,156,216],"noises.":[124],"We":[125,179],"first":[126],"framework":[129],"unify":[131],"Under":[136],"our":[137,252,259],"framework,":[138],"these":[139],"viewed":[143],"iteratively":[145,171],"applying":[146],"(different)":[148],"local":[149,167],"rule":[150],"every":[152,174],"user,":[153],"propagates":[155],"information":[157],"among":[158],"graph.":[161],"Second,":[162],"design":[164],"rule,":[168],"applies":[172],"user":[175],"detect":[177],"compare":[180],"with":[182,201],"state-of-the-art":[184,189,221,235],"method,":[191,223],"using":[192],"both":[193],"synthetic":[194],"large-scale":[197],"network":[199],"datasets":[200],"real":[202],"Our":[204],"results":[205],"demonstrate":[206],"that":[207,225],"more":[210,213,231],"accurate":[211],"noise":[217],"than":[218,233],"compared":[220],"orders":[228],"magnitude":[230],"scalable":[232],"guaranteed":[240],"converge.":[242],"To":[243],"facilitate":[244],"on":[246,258],"detection,":[248],"made":[251],"implementation":[253],"publicly":[256],"available":[257],"webpages.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":5}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}