{"id":"https://openalex.org/W4389077370","doi":"https://doi.org/10.23919/cnsm59352.2023.10327884","title":"TinyG: Accurate IP Geolocation Using a Tiny Number of Probers","display_name":"TinyG: Accurate IP Geolocation Using a Tiny Number of Probers","publication_year":2023,"publication_date":"2023-10-30","ids":{"openalex":"https://openalex.org/W4389077370","doi":"https://doi.org/10.23919/cnsm59352.2023.10327884"},"language":"en","primary_location":{"id":"doi:10.23919/cnsm59352.2023.10327884","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm59352.2023.10327884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Conference on Network and Service Management (CNSM)","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/A5044043476","display_name":"Nan Jiang","orcid":"https://orcid.org/0000-0002-0248-3267"},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"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","US"],"is_corresponding":true,"raw_author_name":"Nan Jiang","raw_affiliation_strings":["Institute for Network Sciences and Cyberspace, Tsinghua University,China","Institute for Network Sciences and Cyberspace, Tsinghua University, China","Beijing National Research Center for Information Science and Technology"],"affiliations":[{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075088248","display_name":"Jessie Hui Wang","orcid":"https://orcid.org/0000-0002-7825-4137"},"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"]},{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jessie Hui Wang","raw_affiliation_strings":["Institute for Network Sciences and Cyberspace, Tsinghua University,China","Institute for Network Sciences and Cyberspace, Tsinghua University, China","Zhongguancun Laboratory, Beijing, China","Beijing National Research Center for Information Science and Technology"],"affiliations":[{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Zhongguancun Laboratory, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660344","display_name":"Jilong Wang","orcid":"https://orcid.org/0000-0002-4493-5145"},"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"]},{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jilong Wang","raw_affiliation_strings":["Institute for Network Sciences and Cyberspace, Tsinghua University,China","Institute for Network Sciences and Cyberspace, Tsinghua University, China","Zhongguancun Laboratory, Beijing, China","Beijing National Research Center for Information Science and Technology"],"affiliations":[{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Zhongguancun Laboratory, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102749927","display_name":"Peiran Wang","orcid":null},"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"]},{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Peiran Wang","raw_affiliation_strings":["Institute for Network Sciences and Cyberspace, Tsinghua University,China","Beijing National Research Center for Information Science and Technology","Institute for Network Sciences and Cyberspace, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology","institution_ids":["https://openalex.org/I29955533"]},{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044043476"],"corresponding_institution_ids":["https://openalex.org/I29955533","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.5245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72519864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9994999766349792,"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":0.9983000159263611,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9980000257492065,"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/geolocation","display_name":"Geolocation","score":0.9916303157806396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7430807948112488},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5275549292564392},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4408091604709625},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39093083143234253},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32120731472969055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1403374969959259},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.11184823513031006},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09771832823753357}],"concepts":[{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.9916303157806396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7430807948112488},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5275549292564392},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4408091604709625},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39093083143234253},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32120731472969055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1403374969959259},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.11184823513031006},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09771832823753357},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/cnsm59352.2023.10327884","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm59352.2023.10327884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Conference on Network and Service Management (CNSM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1539009946","https://openalex.org/W1576247912","https://openalex.org/W2009217060","https://openalex.org/W2029154159","https://openalex.org/W2046270155","https://openalex.org/W2051249526","https://openalex.org/W2070414912","https://openalex.org/W2072334238","https://openalex.org/W2093891293","https://openalex.org/W2104105353","https://openalex.org/W2109708952","https://openalex.org/W2115082527","https://openalex.org/W2115819049","https://openalex.org/W2132878099","https://openalex.org/W2177058407","https://openalex.org/W2399121719","https://openalex.org/W2402831979","https://openalex.org/W2416687618","https://openalex.org/W2530522083","https://openalex.org/W2552158386","https://openalex.org/W2768480737","https://openalex.org/W2790778757","https://openalex.org/W2902322559","https://openalex.org/W2963966284","https://openalex.org/W2968701173","https://openalex.org/W3032587911","https://openalex.org/W3157877258","https://openalex.org/W3173091431","https://openalex.org/W3202260726","https://openalex.org/W3216950620","https://openalex.org/W3217153411","https://openalex.org/W4283645980","https://openalex.org/W4381163583","https://openalex.org/W6632238716","https://openalex.org/W6634250154","https://openalex.org/W6740598935","https://openalex.org/W6801505677"],"related_works":["https://openalex.org/W2163194970","https://openalex.org/W3105229732","https://openalex.org/W2799094075","https://openalex.org/W2892370851","https://openalex.org/W2187946387","https://openalex.org/W2052024186","https://openalex.org/W2939141610","https://openalex.org/W2380692702","https://openalex.org/W2144015590","https://openalex.org/W1591758638"],"abstract_inverted_index":{"IP":[0,11,49],"geolocation":[1,12,36,63,112,189,194],"is":[2,44,68,92,183],"essential":[3],"for":[4,33,103,171],"various":[5,187],"applications.":[6],"However,":[7,65],"the":[8,23,31,47,57,61,73,84,96,117,123,138,150,154,167,179,202],"reliability":[9],"of":[10,26,88,99,169,221,229],"databases":[13],"has":[14,29],"been":[15],"proven":[16],"to":[17,45,60,94,136,141,165,205,210],"be":[18],"inadequate.":[19],"In":[20],"recent":[21],"years,":[22],"growing":[24],"number":[25,98],"public":[27,77],"probers":[28,54,78,100,121,143,170],"offered":[30],"potential":[32],"more":[34,212],"accurate":[35],"results":[37,59,164,175],"through":[38],"active":[39,62,188],"measurement.":[40],"The":[41],"conventional":[42],"practice":[43,67],"probe":[46],"target":[48],"address":[50],"using":[51,211],"all":[52],"available":[53],"and":[55,70,86,122,160],"feed":[56],"measurement":[58,163],"method.":[64],"this":[66],"cost-inefficient":[69],"may":[71],"trigger":[72],"anti-flood":[74],"mechanism.":[75],"Moreover,":[76],"typically":[79],"impose":[80],"user-level":[81],"limits":[82],"on":[83,116],"frequency":[85],"quantity":[87],"measurements.":[89],"Therefore,":[90],"it":[91],"important":[93],"reduce":[95,137],"average":[97],"(ANP)":[101],"selected":[102],"successfully":[104],"probing":[105,155],"each":[106],"target.":[107,124,151],"Researchers":[108],"have":[109],"discovered":[110],"that":[111,177],"accuracy":[113],"primarily":[114],"depends":[115],"minimum":[118,181],"delay":[119,148,182],"between":[120],"Inspired":[125],"by":[126],"that,":[127],"we":[128],"propose":[129],"TinyG,":[130],"a":[131,145,225],"prober":[132],"selection":[133,168],"algorithm":[134],"designed":[135],"ANP":[139,203,220],"needed":[140,204],"find":[142],"within":[144,184],"sufficiently":[146],"small":[147],"from":[149],"TinyG":[152,196,216],"divides":[153],"process":[156],"into":[157],"multiple":[158],"rounds":[159],"leverages":[161],"previous":[162],"guide":[166],"subsequent":[172],"rounds.":[173],"Experimental":[174],"show":[176],"when":[178],"associated":[180],"2":[185],"ms,":[186],"methods":[190],"can":[191,217],"provide":[192],"credible":[193,207,230],"results.":[195,208,231],"outperforms":[197],"other":[198],"algorithms":[199],"in":[200],"reducing":[201],"obtain":[206],"Compared":[209],"than":[213],"1,300":[214],"probers,":[215],"achieve":[218],"an":[219],"6.7":[222],"with":[223],"only":[224],"6%":[226],"coverage":[227],"loss":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}