{"id":"https://openalex.org/W4402352302","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650376","title":"HiparaLog: Improving Log-based Anomaly Detection through Parameter Feature Integration","display_name":"HiparaLog: Improving Log-based Anomaly Detection through Parameter Feature Integration","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352302","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650376"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650376","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5100635449","display_name":"Guangming Li","orcid":"https://orcid.org/0000-0002-0281-8258"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Li","raw_affiliation_strings":["Xinjiang University,Xinjiang Key Laboratory of Signal Detection and Processing, School of Computer Science and Technology,Urumqi,China,830017"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,Xinjiang Key Laboratory of Signal Detection and Processing, School of Computer Science and Technology,Urumqi,China,830017","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004913357","display_name":"Jiaqing Mo","orcid":"https://orcid.org/0000-0001-8607-1966"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqing Mo","raw_affiliation_strings":["Xinjiang University,Xinjiang Key Laboratory of Signal Detection and Processing, School of Computer Science and Technology,Urumqi,China,830017"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,Xinjiang Key Laboratory of Signal Detection and Processing, School of Computer Science and Technology,Urumqi,China,830017","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054814122","display_name":"Gang Zhou","orcid":"https://orcid.org/0000-0002-4425-9837"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Zhou","raw_affiliation_strings":["Xinjiang University,Xinjiang Key Laboratory of Signal Detection and Processing, School of Computer Science and Technology,Urumqi,China,830017"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,Xinjiang Key Laboratory of Signal Detection and Processing, School of Computer Science and Technology,Urumqi,China,830017","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100715563","display_name":"Cheng Li","orcid":"https://orcid.org/0000-0002-5168-7768"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Li","raw_affiliation_strings":["Xinjiang University,Xinjiang Key Laboratory of Signal Detection and Processing, School of Computer Science and Technology,Urumqi,China,830017"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,Xinjiang Key Laboratory of Signal Detection and Processing, School of Computer Science and Technology,Urumqi,China,830017","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17905961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9998999834060669,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9998999834060669,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9984999895095825,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7042481303215027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6208429932594299},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5989638566970825},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5361233949661255},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4403209686279297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38295915722846985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3378516137599945},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08615192770957947}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7042481303215027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6208429932594299},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5989638566970825},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5361233949661255},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4403209686279297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38295915722846985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3378516137599945},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08615192770957947},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/ijcnn60899.2024.10650376","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2015979301","https://openalex.org/W2039157918","https://openalex.org/W2094924503","https://openalex.org/W2102632804","https://openalex.org/W2105454049","https://openalex.org/W2115056012","https://openalex.org/W2141041105","https://openalex.org/W2153470728","https://openalex.org/W2157331557","https://openalex.org/W2208211896","https://openalex.org/W2250539671","https://openalex.org/W2563351168","https://openalex.org/W2734941459","https://openalex.org/W2754665629","https://openalex.org/W2767094836","https://openalex.org/W2896457183","https://openalex.org/W2899771611","https://openalex.org/W2912378279","https://openalex.org/W2947815220","https://openalex.org/W3180050267","https://openalex.org/W3199174176","https://openalex.org/W3207901375","https://openalex.org/W3213920537","https://openalex.org/W4205965165","https://openalex.org/W4255845613","https://openalex.org/W4319993380","https://openalex.org/W4327503230","https://openalex.org/W4382119071","https://openalex.org/W6631190155","https://openalex.org/W6632550495","https://openalex.org/W6712994927","https://openalex.org/W6731031554","https://openalex.org/W6756040250","https://openalex.org/W6798152147"],"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/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,21,29,68],"methods":[2,22,30],"based":[3],"on":[4,132],"system":[5],"logs":[6,33,125],"are":[7],"effective":[8],"means":[9],"of":[10,52,134],"maintaining":[11],"large-scale":[12],"systems.":[13],"In":[14,59,116],"recent":[15],"years,":[16],"numerous":[17],"excellent":[18],"log":[19,27,57,66,76,114],"anomaly":[20,28,67],"have":[23],"emerged.":[24],"However,":[25],"existing":[26],"identify":[31],"anomalous":[32],"either":[34],"through":[35],"the":[36,46,50,102,106,113,135],"single":[37],"template":[38,43,88],"feature":[39],"or":[40],"by":[41,94],"combining":[42],"features":[44,55,86],"with":[45],"contextual":[47,110],"information,":[48],"ignoring":[49],"role":[51],"parameter":[53,85],"value":[54],"in":[56],"messages.":[58],"this":[60,117],"paper,":[61],"we":[62],"propose":[63],"a":[64,79,96],"novel":[65],"method":[69],"named":[70],"HiparaLog.":[71],"HiparaLog":[72,119,141],"converts":[73],"each":[74],"raw":[75],"message":[77],"into":[78],"semantic":[80],"vector,":[81],"which":[82,100],"incorporates":[83],"both":[84],"and":[87,109],"features.":[89],"It":[90],"then":[91],"detects":[92],"anomalies":[93],"employing":[95],"self-attention-enhanced":[97],"GRU":[98],"model,":[99],"has":[101],"ability":[103],"to":[104,122,146],"capture":[105],"global":[107],"dependencies":[108],"information":[111],"within":[112],"sequence.":[115],"way,":[118],"is":[120],"able":[121],"detect":[123],"abnormal":[124],"from":[126],"multiple":[127],"dimensions.":[128],"Our":[129],"experimental":[130],"results":[131],"two":[133],"most":[136],"challenging":[137],"datasets":[138],"demonstrate":[139],"that":[140],"achieves":[142],"superior":[143],"performance":[144],"compared":[145],"current":[147],"state-of-the-art":[148],"methods.":[149]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}