{"id":"https://openalex.org/W4312340546","doi":"https://doi.org/10.1109/tnsm.2022.3224974","title":"AllInfoLog: Robust Diverse Anomalies Detection Based on All Log Features","display_name":"AllInfoLog: Robust Diverse Anomalies Detection Based on All Log Features","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4312340546","doi":"https://doi.org/10.1109/tnsm.2022.3224974"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2022.3224974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2022.3224974","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-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/A5010038201","display_name":"Ruizhi Xiao","orcid":"https://orcid.org/0000-0001-9937-5774"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruizhi Xiao","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101915483","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-7348-5649"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000176496","display_name":"Jintian Lu","orcid":"https://orcid.org/0000-0002-8795-0847"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jintian Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073821506","display_name":"Weilong Li","orcid":"https://orcid.org/0000-0002-0761-3630"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilong Li","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020529014","display_name":"Shuyuan Jin","orcid":"https://orcid.org/0000-0003-2087-2853"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Jin","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010038201"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.8474,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86172366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"20","issue":"3","first_page":"2529","last_page":"2543"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9975000023841858,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9947999715805054,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7341464757919312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7329216003417969},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6985929608345032},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5972631573677063},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4276221990585327},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.4146115779876709},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4110843241214752},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3723304569721222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3475496768951416}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7341464757919312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7329216003417969},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6985929608345032},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5972631573677063},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4276221990585327},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.4146115779876709},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4110843241214752},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3723304569721222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3475496768951416},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnsm.2022.3224974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2022.3224974","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3349605445","display_name":null,"funder_award_id":"61672494","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6334338794","display_name":null,"funder_award_id":"2018YFB1800705","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1184354083","https://openalex.org/W1522301498","https://openalex.org/W1540258466","https://openalex.org/W1919179112","https://openalex.org/W1940872118","https://openalex.org/W1978394996","https://openalex.org/W2039157918","https://openalex.org/W2063566496","https://openalex.org/W2064675550","https://openalex.org/W2096017373","https://openalex.org/W2102632804","https://openalex.org/W2107263349","https://openalex.org/W2123442489","https://openalex.org/W2143612262","https://openalex.org/W2149576136","https://openalex.org/W2153242493","https://openalex.org/W2345006530","https://openalex.org/W2401686019","https://openalex.org/W2460584250","https://openalex.org/W2522585932","https://openalex.org/W2560021099","https://openalex.org/W2598269246","https://openalex.org/W2601243251","https://openalex.org/W2754665629","https://openalex.org/W2762028850","https://openalex.org/W2767094836","https://openalex.org/W2794433597","https://openalex.org/W2808242862","https://openalex.org/W2883560233","https://openalex.org/W2888115557","https://openalex.org/W2895810692","https://openalex.org/W2896457183","https://openalex.org/W2898998129","https://openalex.org/W2899771611","https://openalex.org/W2911727988","https://openalex.org/W2919115771","https://openalex.org/W2947815220","https://openalex.org/W2954661119","https://openalex.org/W2962739339","https://openalex.org/W2963626623","https://openalex.org/W2963999143","https://openalex.org/W2964805342","https://openalex.org/W2965373594","https://openalex.org/W2965838158","https://openalex.org/W2998908795","https://openalex.org/W3005115843","https://openalex.org/W3090066802","https://openalex.org/W3095840026","https://openalex.org/W3099780882","https://openalex.org/W3163667769","https://openalex.org/W3183619936","https://openalex.org/W4212902066","https://openalex.org/W4245040028","https://openalex.org/W4254816979","https://openalex.org/W4294170691","https://openalex.org/W6631190155","https://openalex.org/W6632550495","https://openalex.org/W6640362995","https://openalex.org/W6682691769","https://openalex.org/W6712994927","https://openalex.org/W6727547932","https://openalex.org/W6755207826","https://openalex.org/W6756040250","https://openalex.org/W6766673545","https://openalex.org/W6782929518"],"related_works":["https://openalex.org/W2131958170","https://openalex.org/W2273754158","https://openalex.org/W2336747664","https://openalex.org/W2357130048","https://openalex.org/W3036607390","https://openalex.org/W4206605161","https://openalex.org/W2092234295","https://openalex.org/W2528363695","https://openalex.org/W1971270045","https://openalex.org/W1996690921"],"abstract_inverted_index":{"Large-scale":[0],"services":[1],"are":[2,102],"generating":[3],"massive":[4],"logs,":[5],"which":[6],"trace":[7],"the":[8,34,131],"runtime":[9],"states":[10],"and":[11,23,91,124,141,143],"critical":[12,19],"events.":[13],"Anomaly":[14],"detection":[15,29,63,135],"via":[16],"logs":[17],"is":[18],"for":[20],"service":[21],"maintenance":[22],"reliability":[24],"assurance.":[25],"Existing":[26],"log-based":[27,61,133],"anomaly":[28,62,134],"methods":[30,136],"make":[31],"use":[32],"of":[33,44,67,75,98,139,150],"limited":[35],"information":[36],"in":[37,41],"log":[38,51,69,80,100,120,126],"data,":[39],"resulting":[40],"their":[42],"incapability":[43],"detecting":[45],"diverse":[46,73,113,148],"anomalies":[47],"related":[48],"to":[49,71,86,105,111,146],"unused":[50],"features.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"AllInfoLog,":[58],"a":[59],"robust":[60],"method":[64],"taking":[65],"advantage":[66],"all":[68,79,99],"information,":[70],"detect":[72,112,147],"types":[74,149],"anomalies.":[76,114,151],"To":[77],"capture":[78],"features,":[81],"AllInfoLog":[82,129],"utilizes":[83],"four":[84],"encoders":[85],"extract":[87],"semantic,":[88],"parameter,":[89],"time,":[90],"other":[92],"feature":[93],"embeddings,":[94],"respectively.":[95],"The":[96,115],"embeddings":[97],"features":[101],"then":[103],"combined":[104],"train":[106],"an":[107],"attention-based":[108],"Bi-LSTM":[109],"model":[110],"experimental":[116],"evaluations":[117],"on":[118],"real-world":[119],"datasets,":[121,123],"synthetic":[122],"unstable":[125],"datasets":[127],"demonstrate":[128],"outperforms":[130],"state-of-the-art":[132],"from":[137],"aspects":[138],"performance":[140],"robustness,":[142],"has":[144],"effectiveness":[145]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
