{"id":"https://openalex.org/W3115675313","doi":"https://doi.org/10.1109/icct50939.2020.9295705","title":"A Semi-supervised Classification Algorithm for Encrypted Discrete Sequential Protocol Data Based on GAN","display_name":"A Semi-supervised Classification Algorithm for Encrypted Discrete Sequential Protocol Data Based on GAN","publication_year":2020,"publication_date":"2020-10-28","ids":{"openalex":"https://openalex.org/W3115675313","doi":"https://doi.org/10.1109/icct50939.2020.9295705","mag":"3115675313"},"language":"en","primary_location":{"id":"doi:10.1109/icct50939.2020.9295705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct50939.2020.9295705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 20th International Conference on Communication Technology (ICCT)","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/A5074737215","display_name":"Yonghui Ju","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yonghui Ju","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003322619","display_name":"Chang Zhao","orcid":"https://orcid.org/0000-0002-0186-7701"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Zhao","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074737215"],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":null,"apc_paid":null,"fwci":0.1542,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54892746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994000196456909,"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":0.9994000196456909,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9994000196456909,"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":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7280785441398621},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.6987574100494385},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5631344318389893},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5227975249290466},{"id":"https://openalex.org/keywords/cryptographic-protocol","display_name":"Cryptographic protocol","score":0.417141854763031},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3863322138786316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37621819972991943},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.2800038456916809},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24503368139266968},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08958384394645691}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7280785441398621},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.6987574100494385},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5631344318389893},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5227975249290466},{"id":"https://openalex.org/C33884865","wikidata":"https://www.wikidata.org/wiki/Q1254335","display_name":"Cryptographic protocol","level":3,"score":0.417141854763031},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3863322138786316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37621819972991943},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.2800038456916809},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24503368139266968},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08958384394645691},{"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct50939.2020.9295705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct50939.2020.9295705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 20th International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W25360022","https://openalex.org/W1517403092","https://openalex.org/W1553465615","https://openalex.org/W2122838776","https://openalex.org/W2465142808","https://openalex.org/W2550999023","https://openalex.org/W2597607383","https://openalex.org/W2619371851","https://openalex.org/W2765811365","https://openalex.org/W2899901572","https://openalex.org/W2904713997","https://openalex.org/W2936870844","https://openalex.org/W2963250052","https://openalex.org/W2963373786","https://openalex.org/W2964218010","https://openalex.org/W2996980851","https://openalex.org/W2998483179","https://openalex.org/W3036867775","https://openalex.org/W3123608679","https://openalex.org/W4294568686","https://openalex.org/W6685777725","https://openalex.org/W6715501732","https://openalex.org/W6718379498","https://openalex.org/W6734641875","https://openalex.org/W6738597727","https://openalex.org/W6757578793"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2100090372","https://openalex.org/W4361205702","https://openalex.org/W2053286651","https://openalex.org/W2385965183","https://openalex.org/W2181743346","https://openalex.org/W2013342653","https://openalex.org/W2187401768","https://openalex.org/W2282990539"],"abstract_inverted_index":{"To":[0],"solve":[1],"the":[2,7,36,45,66,71,79,82,85,102,106,115,125,131,136,150,154,164],"problem":[3],"of":[4,135,156],"classification":[5,19,42,127],"for":[6,32,41],"sparsely":[8],"labeled":[9],"encrypted":[10],"Discrete":[11],"Sequence":[12],"Protocol":[13],"Data":[14],"(DSPD),":[15],"a":[16,53,91],"two-stage":[17],"semi-supervised":[18,37,86],"method":[20,56,138],"based":[21,57,128],"on":[22,58,129,147],"Generative":[23],"Adversarial":[24],"Networks":[25],"(GAN)":[26],"is":[27,34,39,61,88,110,159],"proposed.":[28],"As":[29],"data":[30,46,54,109],"annotation":[31],"DSPD":[33],"difficult,":[35],"GAN":[38,60,87],"used":[40],"by":[43,70,90,141],"mining":[44],"distribution":[47],"hidden":[48],"in":[49,84,105],"unlabeled":[50],"data.":[51,73],"Meanwhile,":[52],"filtering":[55],"traditional":[59],"put":[62],"forward":[63],"to":[64,76],"avoid":[65],"adverse":[67],"effects":[68],"caused":[69],"irrelevant":[72],"In":[74],"addition,":[75],"directly":[77],"process":[78],"raw":[80],"data,":[81,152],"discriminator":[83],"constructed":[89],"Long":[92],"Short-Term":[93],"Memory":[94],"(LSTM)":[95],"network.":[96],"Experiments":[97],"results":[98],"show":[99],"that":[100],"when":[101,153],"labeling":[103],"rate":[104],"class-balanced":[107],"mixed":[108],"as":[111,113],"low":[112],"0.48%,":[114],"average":[116],"accuracy":[117,132,165],"and":[118,133,166],"F1":[119,134,167],"can":[120,168],"reach":[121],"96%.":[122],"Compared":[123],"with":[124],"supervised":[126],"LSTM,":[130],"proposed":[137],"are":[139],"improved":[140],"more":[142],"than":[143,162],"10":[144],"percentage":[145],"points":[146],"average.":[148],"For":[149],"class-imbalanced":[151],"proportion":[155],"smallest":[157],"class":[158],"not":[160],"less":[161],"10%,":[163],"be":[169],"maintained":[170],"above":[171],"90%.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
