{"id":"https://openalex.org/W4405907722","doi":"https://doi.org/10.1109/icspis63676.2024.10812623","title":"Explainable Anomaly Detection Method Using LLM Embeddings Model with SHAP","display_name":"Explainable Anomaly Detection Method Using LLM Embeddings Model with SHAP","publication_year":2024,"publication_date":"2024-11-12","ids":{"openalex":"https://openalex.org/W4405907722","doi":"https://doi.org/10.1109/icspis63676.2024.10812623"},"language":"en","primary_location":{"id":"doi:10.1109/icspis63676.2024.10812623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis63676.2024.10812623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Signal Processing and Information Security (ICSPIS)","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":null,"display_name":"Taisei Matsumura","orcid":null},"institutions":[{"id":"https://openalex.org/I158123994","display_name":"Toyo University","ror":"https://ror.org/059d6yn51","country_code":"JP","type":"education","lineage":["https://openalex.org/I158123994"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taisei Matsumura","raw_affiliation_strings":["INIAD, Toyo University,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INIAD, Toyo University,Tokyo,Japan","institution_ids":["https://openalex.org/I158123994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035470984","display_name":"Satoshi Okada","orcid":"https://orcid.org/0000-0003-0894-6477"},"institutions":[{"id":"https://openalex.org/I158123994","display_name":"Toyo University","ror":"https://ror.org/059d6yn51","country_code":"JP","type":"education","lineage":["https://openalex.org/I158123994"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Okada","raw_affiliation_strings":["INIAD, Toyo University,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INIAD, Toyo University,Tokyo,Japan","institution_ids":["https://openalex.org/I158123994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015056725","display_name":"Koki Watarai","orcid":null},"institutions":[{"id":"https://openalex.org/I158123994","display_name":"Toyo University","ror":"https://ror.org/059d6yn51","country_code":"JP","type":"education","lineage":["https://openalex.org/I158123994"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koki Watarai","raw_affiliation_strings":["INIAD, Toyo University,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INIAD, Toyo University,Tokyo,Japan","institution_ids":["https://openalex.org/I158123994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058910521","display_name":"Takuho Mitsunaga","orcid":"https://orcid.org/0009-0003-0089-7997"},"institutions":[{"id":"https://openalex.org/I158123994","display_name":"Toyo University","ror":"https://ror.org/059d6yn51","country_code":"JP","type":"education","lineage":["https://openalex.org/I158123994"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuho Mitsunaga","raw_affiliation_strings":["INIAD, Toyo University,The Tokyo Foundation for Policy Research,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INIAD, Toyo University,The Tokyo Foundation for Policy Research,Tokyo,Japan","institution_ids":["https://openalex.org/I158123994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158123994"],"apc_list":null,"apc_paid":null,"fwci":0.5585,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64107909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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":0.9049999713897705,"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":0.9049999713897705,"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/computer-science","display_name":"Computer science","score":0.5665975213050842},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5386642217636108},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4669336676597595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3791794776916504},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10739386081695557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5665975213050842},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5386642217636108},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4669336676597595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3791794776916504},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10739386081695557},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspis63676.2024.10812623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis63676.2024.10812623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Signal Processing and Information Security (ICSPIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6200000047683716,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2107263349","https://openalex.org/W2754665629","https://openalex.org/W3018898752","https://openalex.org/W4206828928","https://openalex.org/W4378647935","https://openalex.org/W4386576685","https://openalex.org/W4388212317","https://openalex.org/W4392942555","https://openalex.org/W4399332528","https://openalex.org/W4399348058","https://openalex.org/W4400447378","https://openalex.org/W6636510571"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"In":[0,85],"recent":[1],"years,":[2],"the":[3,50,78,94,99,103,149,157],"black-box":[4],"nature":[5],"of":[6,98,153],"AI":[7,51],"models":[8,154],"in":[9,169],"anomaly":[10,24,81,106],"detection":[11,25,82,107,139],"using":[12,32,113,127,174,182],"log":[13,33,123],"data":[14,124],"has":[15],"raised":[16],"concerns":[17],"about":[18],"reliability":[19],"and":[20,35,47,96,101,151,179],"transparency.":[21],"Conventional":[22],"text-based":[23],"methods":[26,68],"have":[27],"relied":[28],"on":[29,70],"structuring":[30],"logs":[31,56],"parsers":[34],"extracting":[36],"features":[37,110],"with":[38],"techniques":[39],"such":[40],"as":[41],"Term":[42],"Frequency-Inverse":[43],"Document":[44],"Frequency":[45],"(TF-IDF)":[46],"word2vec.":[48],"How":[49],"model":[52,100],"determines":[53],"whether":[54],"abnormal":[55],"or":[57],"not":[58],"provides":[59],"valuable":[60],"clues":[61],"for":[62,80,105,164],"responding":[63],"after":[64],"detection.":[65],"However,":[66],"these":[67],"depend":[69],"word":[71],"frequency,":[72],"making":[73],"it":[74],"difficult":[75],"to":[76,92,111,147],"explain":[77],"basis":[79],"decisions":[83],"clearly.":[84],"this":[86,144],"study,":[87],"we":[88],"propose":[89],"a":[90,137,170],"method":[91,120],"increase":[93],"transparency":[95,152],"interpretability":[97,150],"clarify":[102],"criteria":[104],"by":[108,155],"identifying":[109],"contribute":[112],"Shapley":[114],"Additive":[115],"Explanations":[116],"(SHAP).":[117],"Our":[118],"proposed":[119],"uses":[121],"vectorized":[122],"event":[125],"templates":[126],"OpenAI":[128],"Embeddings,":[129],"which":[130],"can":[131],"be":[132],"visually":[133],"represented":[134],"while":[135],"achieving":[136],"high":[138],"rate.":[140],"To":[141],"our":[142],"knowledge,":[143],"study":[145],"contributes":[146],"improving":[148],"utilizing":[156],"Large":[158],"Language":[159],"Models":[160],"(LLM)":[161],"Embeddings":[162],"Model":[163],"feature":[165],"extraction,":[166],"plotting":[167],"them":[168],"reduced-dimensional":[171],"coordinate":[172],"space":[173],"principal":[175],"component":[176],"analysis":[177],"(PCA),":[178],"enhancing":[180],"explainability":[181],"SHAP.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
