{"id":"https://openalex.org/W2921176247","doi":"https://doi.org/10.1109/istel.2018.8660975","title":"Trusted Throughput-Efficient Spectrum Sensing Against Intelligent Malicious Behaviors in Cognitive Radio Networks","display_name":"Trusted Throughput-Efficient Spectrum Sensing Against Intelligent Malicious Behaviors in Cognitive Radio Networks","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2921176247","doi":"https://doi.org/10.1109/istel.2018.8660975","mag":"2921176247"},"language":"en","primary_location":{"id":"doi:10.1109/istel.2018.8660975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istel.2018.8660975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th International Symposium on Telecommunications (IST)","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/A5100602087","display_name":"Ali Karimi","orcid":"https://orcid.org/0000-0001-8664-5878"},"institutions":[{"id":"https://openalex.org/I69425150","display_name":"Imam Khomeini International University","ror":"https://ror.org/02jeykk09","country_code":"IR","type":"education","lineage":["https://openalex.org/I69425150"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Ali Karimi","raw_affiliation_strings":["Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran","institution_ids":["https://openalex.org/I69425150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033628199","display_name":"Abbas Taherpour","orcid":"https://orcid.org/0000-0003-0706-5774"},"institutions":[{"id":"https://openalex.org/I69425150","display_name":"Imam Khomeini International University","ror":"https://ror.org/02jeykk09","country_code":"IR","type":"education","lineage":["https://openalex.org/I69425150"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Abbas Taherpour","raw_affiliation_strings":["Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran","institution_ids":["https://openalex.org/I69425150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100602087"],"corresponding_institution_ids":["https://openalex.org/I69425150"],"apc_list":null,"apc_paid":null,"fwci":0.1845,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59118061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"357","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":1.0,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":1.0,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9876000285148621,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.850820004940033},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.7719153761863708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7415652871131897},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.7255311012268066},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5967556238174438},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.536155641078949},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5027282238006592},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.42406558990478516},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4182652533054352},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3550550043582916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13463571667671204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13378378748893738},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1022779643535614},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09191465377807617}],"concepts":[{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.850820004940033},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.7719153761863708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415652871131897},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.7255311012268066},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5967556238174438},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.536155641078949},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5027282238006592},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.42406558990478516},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4182652533054352},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3550550043582916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13463571667671204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13378378748893738},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1022779643535614},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09191465377807617},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/istel.2018.8660975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istel.2018.8660975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th International Symposium on Telecommunications (IST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1667165204","https://openalex.org/W1982558500","https://openalex.org/W2015513948","https://openalex.org/W2072196484","https://openalex.org/W2084436032","https://openalex.org/W2120636900","https://openalex.org/W2123856000","https://openalex.org/W2127040151","https://openalex.org/W2147856005","https://openalex.org/W2162958263","https://openalex.org/W2171402290","https://openalex.org/W2548828344","https://openalex.org/W2602431582","https://openalex.org/W6678274278"],"related_works":["https://openalex.org/W2181410425","https://openalex.org/W2051888740","https://openalex.org/W2382279859","https://openalex.org/W2046691252","https://openalex.org/W2384472869","https://openalex.org/W3203708548","https://openalex.org/W2132580384","https://openalex.org/W2003835194","https://openalex.org/W1973050875","https://openalex.org/W1996209778"],"abstract_inverted_index":{"In":[0,75],"this":[1],"paper,":[2],"a":[3,7,69,132],"new":[4],"model":[5,32],"for":[6,47],"smart":[8,37,84,95,128,147],"primary":[9,34,63],"user":[10,35,64],"emulation":[11],"attacker":[12,38,66,78],"is":[13,25,29,73,106],"proposed":[14,83],"and":[15,36,53,56,65,82,108,159],"spectrum":[16],"sensing":[17],"in":[18,79,93,99],"the":[19,33,48,59,62,80,94,97,102,113,124,137,144,151,154],"presence":[20],"of":[21,51,61,101,112,127,153],"such":[22],"an":[23],"attacker,":[24,129],"studied.":[26],"Markov":[27],"chain":[28],"used":[30],"to":[31,142],"activities,":[39],"simultaneously.":[40],"Then,":[41],"we":[42,130],"derive":[43,131],"closed":[44],"form":[45],"expressions":[46],"average":[49],"probability":[50],"detection":[52],"false":[54],"alarm":[55],"from":[57,146],"there,":[58],"effect":[60],"traffic":[67,115],"on":[68,136],"secondary":[70,103],"user's":[71,104],"throughput":[72,100],"investigated.":[74],"addition,":[76],"launching":[77],"conventional":[81],"attacking":[85],"procedures":[86],"are":[87,157],"compared.":[88],"The":[89],"numerical":[90],"results":[91,156],"show":[92],"attacking,":[96],"deterioration":[98],"network":[105],"considerable":[107],"under":[109],"proper":[110],"selection":[111],"attacker's":[114],"parameters,":[116],"it":[117],"may":[118],"tend":[119],"toward":[120],"zero.":[121],"To":[122],"combat":[123],"harmful":[125],"impact":[126],"test":[133,141],"rule":[134],"based":[135],"generalized":[138],"likelihood":[139],"ratio":[140],"detect":[143],"legitimate":[145],"illegitimate":[148],"user.":[149],"Finally,":[150],"accuracy":[152],"obtained":[155],"analyzed":[158],"verified":[160],"by":[161],"simulation":[162],"results.":[163]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}