{"id":"https://openalex.org/W2966811672","doi":"https://doi.org/10.1109/wocc.2019.8770554","title":"Rogue Base Station Detection Using A Machine Learning Approach","display_name":"Rogue Base Station Detection Using A Machine Learning Approach","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2966811672","doi":"https://doi.org/10.1109/wocc.2019.8770554","mag":"2966811672"},"language":"en","primary_location":{"id":"doi:10.1109/wocc.2019.8770554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc.2019.8770554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 28th Wireless and Optical Communications Conference (WOCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100745788","display_name":"Jian Jin","orcid":"https://orcid.org/0000-0002-4128-966X"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Jin","raw_affiliation_strings":["China Telecommunication Technology Labs-Terminals, China Academy of Information and Communication Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecommunication Technology Labs-Terminals, China Academy of Information and Communication Technology, Beijing, China","institution_ids":["https://openalex.org/I4210136246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016561918","display_name":"ChangLiang Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ChangLiang Lian","raw_affiliation_strings":["China Telecommunication Technology Labs-Terminals, China Academy of Information and Communication Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecommunication Technology Labs-Terminals, China Academy of Information and Communication Technology, Beijing, China","institution_ids":["https://openalex.org/I4210136246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084382806","display_name":"Ming Xu","orcid":"https://orcid.org/0000-0002-8849-9656"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Xu","raw_affiliation_strings":["China Telecommunication Technology Labs-Terminals, China Academy of Information and Communication Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecommunication Technology Labs-Terminals, China Academy of Information and Communication Technology, Beijing, China","institution_ids":["https://openalex.org/I4210136246"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136246"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9779999852180481,"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":0.9779999852180481,"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/base-station","display_name":"Base station","score":0.8615648150444031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7568768262863159},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.7073599100112915},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6267764568328857},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.6033682227134705},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5067275166511536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42678534984588623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42123281955718994},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36059457063674927},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3218449652194977},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.28380176424980164},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1956108808517456}],"concepts":[{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.8615648150444031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7568768262863159},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7073599100112915},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6267764568328857},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.6033682227134705},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5067275166511536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42678534984588623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42123281955718994},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36059457063674927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3218449652194977},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28380176424980164},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1956108808517456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wocc.2019.8770554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc.2019.8770554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 28th Wireless and Optical Communications Conference (WOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2768348081","https://openalex.org/W6745609711"],"related_works":["https://openalex.org/W2500106866","https://openalex.org/W2140798747","https://openalex.org/W2948169060","https://openalex.org/W2730112582","https://openalex.org/W2952407405","https://openalex.org/W2110696645","https://openalex.org/W2358580169","https://openalex.org/W2411032004","https://openalex.org/W2111347279","https://openalex.org/W2384373317"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"novel":[4],"machine":[5,54],"learning":[6,55,62],"approach":[7,73],"is":[8,58],"proposed":[9,72],"to":[10],"identify":[11],"the":[12,17,22,33,45,48,61,65,71,76],"rogue":[13,38],"base":[14,24,39],"station":[15,25,40],"in":[16,31],"mobile":[18],"networks":[19],"based":[20],"on":[21],"key":[23],"parameters.":[26],"This":[27],"paper":[28],"also":[29],"analyzes":[30],"detail":[32],"reasons":[34],"and":[35],"ways":[36],"of":[37,47],"attack":[41],"user":[42],"equipment":[43],"from":[44],"perspective":[46],"3GPP":[49],"protocol":[50],"standard.":[51],"A":[52],"well-known":[53],"model":[56],"\u201clightGBM\u201d":[57],"used":[59],"as":[60],"model.":[63],"From":[64],"experiments,":[66],"we":[67],"can":[68,74],"conclude":[69],"that":[70],"reach":[75],"desired":[77],"result.":[78]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}