{"id":"https://openalex.org/W3216989790","doi":"https://doi.org/10.1109/isncc52172.2021.9615730","title":"Tor Network Detection By Using Machine Learning And Artificial Neural Network","display_name":"Tor Network Detection By Using Machine Learning And Artificial Neural Network","publication_year":2021,"publication_date":"2021-10-31","ids":{"openalex":"https://openalex.org/W3216989790","doi":"https://doi.org/10.1109/isncc52172.2021.9615730","mag":"3216989790"},"language":"en","primary_location":{"id":"doi:10.1109/isncc52172.2021.9615730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc52172.2021.9615730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Networks, Computers and Communications (ISNCC)","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/A5016135941","display_name":"Murat Soykan","orcid":null},"institutions":[{"id":"https://openalex.org/I128277893","display_name":"Bah\u00e7e\u015fehir University","ror":"https://ror.org/00yze4d93","country_code":"TR","type":"education","lineage":["https://openalex.org/I128277893"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Murat Soykan","raw_affiliation_strings":["Bahcesehir University,Graduate Education Inst&#x0131;tute, Computer Engineering,Istanbul,Turkey","tute, Computer Engineering, Bahcesehir University, Istanbul, Turkey","Graduate Education Inst&#x0131"],"affiliations":[{"raw_affiliation_string":"Bahcesehir University,Graduate Education Inst&#x0131;tute, Computer Engineering,Istanbul,Turkey","institution_ids":["https://openalex.org/I128277893"]},{"raw_affiliation_string":"tute, Computer Engineering, Bahcesehir University, Istanbul, Turkey","institution_ids":["https://openalex.org/I128277893"]},{"raw_affiliation_string":"Graduate Education Inst&#x0131","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060733904","display_name":"P\u0131nar Sar\u0131saray B\u00f6l\u00fck","orcid":"https://orcid.org/0000-0001-8274-8423"},"institutions":[{"id":"https://openalex.org/I128277893","display_name":"Bah\u00e7e\u015fehir University","ror":"https://ror.org/00yze4d93","country_code":"TR","type":"education","lineage":["https://openalex.org/I128277893"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"P\u0131nar Sar\u0131saray B\u00f6l\u00fck","raw_affiliation_strings":["Bahcesehir University,Faculty of Engineering and Natural Sciences, Software Engineering,Istanbul,Turkey","Faculty of Engineering and Natural Sciences, Software Engineering, Bahcesehir University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Bahcesehir University,Faculty of Engineering and Natural Sciences, Software Engineering,Istanbul,Turkey","institution_ids":["https://openalex.org/I128277893"]},{"raw_affiliation_string":"Faculty of Engineering and Natural Sciences, Software Engineering, Bahcesehir University, Istanbul, Turkey","institution_ids":["https://openalex.org/I128277893"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016135941"],"corresponding_institution_ids":["https://openalex.org/I128277893"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73579072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9980000257492065,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7284243106842041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7076728940010071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5412966012954712},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.402506560087204}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7284243106842041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7076728940010071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5412966012954712},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.402506560087204}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isncc52172.2021.9615730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc52172.2021.9615730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W138886706","https://openalex.org/W1992562179","https://openalex.org/W2011158884","https://openalex.org/W2036714354","https://openalex.org/W2062173166","https://openalex.org/W2096118443","https://openalex.org/W2099215689","https://openalex.org/W2314121694","https://openalex.org/W2343828539","https://openalex.org/W2517975492","https://openalex.org/W2591476802","https://openalex.org/W2591712613","https://openalex.org/W2750674396","https://openalex.org/W3027172182","https://openalex.org/W4240685602"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0,40,59],"Internet":[1,71],"is":[2,62,86,136],"a":[3,63],"virtual":[4,24],"world":[5],"where":[6],"everyone":[7],"can":[8,51],"express":[9],"themselves":[10],"as":[11,13],"much":[12],"they":[14,20,50],"wish":[15],"and":[16,94,108,142,149,202,214],"perform":[17],"the":[18,31,53,70,87,99,113,125,129,139,155,162,183,208],"operations":[19],"want.":[21],"In":[22,76,188],"this":[23,77],"world,":[25],"some":[26],"users":[27],"want":[28],"to":[29,81,120,123,132,138],"experience":[30],"internet":[32,54],"without":[33,55,72],"giving":[34],"their":[35,57],"identity":[36],"for":[37,220],"certain":[38],"reasons.":[39],"concept":[41],"of":[42,182],"an":[43],"anonymous":[44,67],"network":[45,84,89],"has":[46],"emerged":[47],"so":[48],"that":[49,65],"use":[52],"revealing":[56,73],"identity.":[58],"Tor":[60],"project":[61],"product":[64],"provides":[66],"communication":[68],"on":[69],"users&#x2019;":[74],"identities.":[75],"project,":[78],"we":[79,101,103],"aimed":[80],"determine":[82],"whether":[83,154],"traffic":[85,157],"TOR":[88,159],"by":[90,160,165],"using":[91,166],"machine":[92,184],"learning":[93,161,185],"artificial":[95,190],"neural":[96,191],"networks.":[97],"With":[98],"dataset":[100],"have,":[102],"first":[104],"performed":[105,218],"data":[106,114,131,140,164],"analysis":[107],"gained":[109],"more":[110],"information":[111],"about":[112],"set.":[115],"Categorical":[116],"values":[117,122],"were":[118,193,212],"assigned":[119],"numerical":[121,133],"learn":[124],"dataset.":[126,222],"After":[127,195],"converting":[128],"categorical":[130],"data,":[134],"normalization":[135],"applied":[137],"set":[141],"all":[143],"features":[144],"are":[145,206],"taken":[146],"between":[147],"-1":[148],"1.":[150],"It":[151],"was":[152,158],"estimated":[153],"future":[156],"past":[163],"K":[167],"Nearest":[168],"Neighbor,":[169],"Naive":[170],"Bayes":[171],"Classifiers,":[172],"Random":[173],"Decision":[174],"Forest,":[175],"Logistic":[176],"Regression,":[177],"Support":[178],"Vector":[179],"Machine,":[180],"one":[181],"classification":[186],"algorithms.":[187],"addition,":[189],"networks":[192],"used.":[194],"each":[196],"algorithm,":[197],"confusion":[198],"matrix,":[199],"precision,":[200],"recall,":[201],"F1-score":[203],"values,":[204],"which":[205,216],"among":[207],"model":[209,217],"evaluation":[210],"tools,":[211],"calculated,":[213],"compared":[215],"better":[219],"our":[221]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
