{"id":"https://openalex.org/W4386214341","doi":"https://doi.org/10.1109/csr57506.2023.10224991","title":"Evaluation of Applying LDA to Redacted Documents in Security and Safety Analysis","display_name":"Evaluation of Applying LDA to Redacted Documents in Security and Safety Analysis","publication_year":2023,"publication_date":"2023-07-31","ids":{"openalex":"https://openalex.org/W4386214341","doi":"https://doi.org/10.1109/csr57506.2023.10224991"},"language":"en","primary_location":{"id":"doi:10.1109/csr57506.2023.10224991","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/csr57506.2023.10224991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Cyber Security and Resilience (CSR)","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/A5047275973","display_name":"Katsuyuki Umezawa","orcid":"https://orcid.org/0000-0003-3903-3558"},"institutions":[{"id":"https://openalex.org/I197425175","display_name":"Shonan Institute of Technology","ror":"https://ror.org/01bawqf59","country_code":"JP","type":"education","lineage":["https://openalex.org/I197425175"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuyuki Umezawa","raw_affiliation_strings":["Shonan Institute of Technology,Dept. of Information Science,Kanagawa,Japan","Dept. of Information Science, Shonan Institute of Technology, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shonan Institute of Technology,Dept. of Information Science,Kanagawa,Japan","institution_ids":["https://openalex.org/I197425175"]},{"raw_affiliation_string":"Dept. of Information Science, Shonan Institute of Technology, Kanagawa, Japan","institution_ids":["https://openalex.org/I197425175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010184479","display_name":"Sven Wohlgemuth","orcid":"https://orcid.org/0000-0001-5276-940X"},"institutions":[{"id":"https://openalex.org/I4210163145","display_name":"Secom (Japan)","ror":"https://ror.org/05ggzej07","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210163145"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sven Wohlgemuth","raw_affiliation_strings":["SECOM Co., Ltd.,Intelligent Systems Laboratory,Tokyo,Japan","Intelligent Systems Laboratory, SECOM Co., Ltd., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SECOM Co., Ltd.,Intelligent Systems Laboratory,Tokyo,Japan","institution_ids":[]},{"raw_affiliation_string":"Intelligent Systems Laboratory, SECOM Co., Ltd., Tokyo, Japan","institution_ids":["https://openalex.org/I4210163145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050736558","display_name":"Keisuke Hasegawa","orcid":"https://orcid.org/0000-0001-6297-6146"},"institutions":[{"id":"https://openalex.org/I4210163145","display_name":"Secom (Japan)","ror":"https://ror.org/05ggzej07","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210163145"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Hasegawa","raw_affiliation_strings":["SECOM Co., Ltd.,Intelligent Systems Laboratory,Tokyo,Japan","Intelligent Systems Laboratory, SECOM Co., Ltd., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SECOM Co., Ltd.,Intelligent Systems Laboratory,Tokyo,Japan","institution_ids":[]},{"raw_affiliation_string":"Intelligent Systems Laboratory, SECOM Co., Ltd., Tokyo, Japan","institution_ids":["https://openalex.org/I4210163145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066071747","display_name":"Kazuo Takaragi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazuo Takaragi","raw_affiliation_strings":["HISAFE,Kanagawa,Japan","HISAFE, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HISAFE,Kanagawa,Japan","institution_ids":[]},{"raw_affiliation_string":"HISAFE, Kanagawa, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15761215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":null,"first_page":"212","last_page":"218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10734","display_name":"Information and Cyber Security","score":0.9835000038146973,"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"}},"topics":[{"id":"https://openalex.org/T10734","display_name":"Information and Cyber Security","score":0.9835000038146973,"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"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9351000189781189,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.916100025177002,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.9175756573677063},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.8006618618965149},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7664481401443481},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.6323369145393372},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.5939607620239258},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5327349305152893},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5217007994651794},{"id":"https://openalex.org/keywords/vulnerability-assessment","display_name":"Vulnerability assessment","score":0.47636839747428894},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4641394019126892},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4624289572238922},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4148115813732147},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.35826975107192993},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.26201799511909485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21524456143379211},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11506974697113037},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08044615387916565}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.9175756573677063},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8006618618965149},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664481401443481},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.6323369145393372},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.5939607620239258},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5327349305152893},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5217007994651794},{"id":"https://openalex.org/C167063184","wikidata":"https://www.wikidata.org/wiki/Q1400839","display_name":"Vulnerability assessment","level":3,"score":0.47636839747428894},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4641394019126892},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4624289572238922},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4148115813732147},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.35826975107192993},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.26201799511909485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21524456143379211},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11506974697113037},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08044615387916565},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"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/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csr57506.2023.10224991","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/csr57506.2023.10224991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Cyber Security and Resilience (CSR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5699999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2114258378","https://openalex.org/W2147946282","https://openalex.org/W2159426623","https://openalex.org/W2904127494","https://openalex.org/W4300649973","https://openalex.org/W6635253253","https://openalex.org/W6683333316"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013"],"abstract_inverted_index":{"Cyber":[0],"attacks":[1,8],"are":[2,144],"often":[3],"executed":[4],"by":[5,69],"imitating":[6],"existing":[7,13],"and":[9,50],"combining":[10],"them.":[11],"Using":[12],"vulnerability":[14,61],"databases,":[15],"we":[16,101,131],"have":[17,37],"presented":[18],"a":[19,70,74,84,119],"way":[20],"to":[21,80,94,106,153],"semi-automatically":[22],"determine":[23],"the":[24,29,39,44,52,56,60,87,91,95,103,110,122,139,151,158,166],"presence":[25],"of":[26,32,55,86,90,121,160],"vulnerabilities":[27],"in":[28,136,146],"design":[30,53,88,123],"documents":[31,42],"products":[33],"under":[34],"development.":[35],"We":[36],"calculated":[38,111],"similarity":[40,112,137,161],"between":[41],"using":[43],"Latent":[45],"Dirichlet":[46],"Allocation":[47],"(LDA)":[48],"technology":[49],"compared":[51],"document":[54,89,124],"new":[57,92],"product":[58,93],"with":[59,138],"database.":[62],"When":[63],"this":[64,99],"comparison":[65],"processing":[66],"is":[67,125,162,169],"conducted":[68],"third":[71,96],"party":[72],"as":[73],"service,":[75],"it":[76],"may":[77],"be":[78,154],"desirable":[79],"not":[81,115],"inadvertently":[82],"disclose":[83],"part":[85],"party.":[97],"In":[98,129,156],"study,":[100],"used":[102],"LDA":[104],"technique":[105],"experimentally":[107],"verify":[108],"that":[109],"value":[113],"does":[114],"deteriorate":[116],"even":[117],"when":[118,165],"portion":[120],"encrypted":[126],"or":[127],"obfuscated.":[128],"conclusion,":[130],"discovered":[132],"no":[133],"substantial":[134],"difference":[135],"original":[140],"document;":[141],"however,":[142],"there":[143],"changes":[145],"numerical":[147],"values":[148],"depending":[149],"on":[150],"words":[152],"encrypted/obfuscated.":[155,170],"particular,":[157],"degradation":[159],"very":[163],"small":[164],"version":[167],"number":[168]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
