{"id":"https://openalex.org/W3167623949","doi":"https://doi.org/10.1145/3433210.3453098","title":"Recompose Event Sequences vs. Predict Next Events: A Novel Anomaly Detection Approach for Discrete Event Logs","display_name":"Recompose Event Sequences vs. Predict Next Events: A Novel Anomaly Detection Approach for Discrete Event Logs","publication_year":2021,"publication_date":"2021-05-24","ids":{"openalex":"https://openalex.org/W3167623949","doi":"https://doi.org/10.1145/3433210.3453098","mag":"3167623949"},"language":"en","primary_location":{"id":"doi:10.1145/3433210.3453098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3433210.3453098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2012.13972","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088206868","display_name":"Lun-Pin Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lun-Pin Yuan","raw_affiliation_strings":["Pennsylvania State University, State College, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346828","display_name":"Peng Liu","orcid":"https://orcid.org/0000-0002-5091-8464"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng Liu","raw_affiliation_strings":["Pennsylvania State University, State College, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101952501","display_name":"Sencun Zhu","orcid":"https://orcid.org/0000-0002-1047-7967"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sencun Zhu","raw_affiliation_strings":["Pennsylvania State University, State College, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088206868"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":2.2298,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88138577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"336","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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":0.9994999766349792,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9991000294685364,"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/event","display_name":"Event (particle physics)","score":0.7528409361839294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.726616382598877},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7224082350730896},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6318192481994629},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5938774943351746},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5901316404342651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5536414980888367},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.45666366815567017},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.449927419424057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4490193724632263},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.44217538833618164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42186230421066284},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42181509733200073},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.38259077072143555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37138307094573975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11523392796516418}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7528409361839294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726616382598877},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7224082350730896},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6318192481994629},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5938774943351746},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5901316404342651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5536414980888367},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.45666366815567017},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.449927419424057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4490193724632263},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.44217538833618164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42186230421066284},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42181509733200073},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.38259077072143555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37138307094573975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11523392796516418},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3433210.3453098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3433210.3453098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2012.13972","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.13972","pdf_url":"https://arxiv.org/pdf/2012.13972","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2012.13972","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.13972","pdf_url":"https://arxiv.org/pdf/2012.13972","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W581956982","https://openalex.org/W1689711448","https://openalex.org/W1889624880","https://openalex.org/W1919179112","https://openalex.org/W2038819732","https://openalex.org/W2039157918","https://openalex.org/W2064675550","https://openalex.org/W2102632804","https://openalex.org/W2107878631","https://openalex.org/W2114554028","https://openalex.org/W2116435618","https://openalex.org/W2127979711","https://openalex.org/W2143612262","https://openalex.org/W2144584907","https://openalex.org/W2157331557","https://openalex.org/W2159505618","https://openalex.org/W2342408547","https://openalex.org/W2560021099","https://openalex.org/W2583874385","https://openalex.org/W2617241599","https://openalex.org/W2734718015","https://openalex.org/W2743138268","https://openalex.org/W2767094836","https://openalex.org/W2772609275","https://openalex.org/W2783741806","https://openalex.org/W2786088545","https://openalex.org/W2790583291","https://openalex.org/W2794693252","https://openalex.org/W2806521373","https://openalex.org/W2810292876","https://openalex.org/W2910068345","https://openalex.org/W2911153497","https://openalex.org/W2912329916","https://openalex.org/W2913028175","https://openalex.org/W2914623161","https://openalex.org/W2942578132","https://openalex.org/W2947703459","https://openalex.org/W2963197901","https://openalex.org/W2963291921","https://openalex.org/W2963421945","https://openalex.org/W2964304846","https://openalex.org/W2964335273","https://openalex.org/W2969495950","https://openalex.org/W2981025625","https://openalex.org/W2983563481","https://openalex.org/W2986944522","https://openalex.org/W2987821246","https://openalex.org/W2988337058","https://openalex.org/W2990630613","https://openalex.org/W2993578250","https://openalex.org/W2995410880","https://openalex.org/W3158266296","https://openalex.org/W4212774754","https://openalex.org/W4214890448","https://openalex.org/W4251954952","https://openalex.org/W4402353523","https://openalex.org/W6601258443"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829","https://openalex.org/W4214835788","https://openalex.org/W4206552806"],"abstract_inverted_index":{"One":[0],"of":[1,9,47,103,121,200],"the":[2,7,100,119,124,184,198],"most":[3,20,31],"challenging":[4],"problems":[5],"in":[6],"field":[8],"intrusion":[10],"detection":[11,14,58,152],"is":[12,114,161,174],"anomaly":[13,57,71,142,151],"for":[15,154],"discrete":[16,48,155],"event":[17,49,91,139,156],"logs.":[18],"While":[19],"earlier":[21],"work":[22,33],"focused":[23],"on":[24],"applying":[25,41],"unsupervised":[26],"learning":[27,43],"upon":[28],"engineered":[29],"features,":[30],"recent":[32],"has":[34,87],"started":[35],"to":[36,45,64,77,97,108,117],"resolve":[37],"this":[38,131],"challenge":[39],"by":[40,52,178],"deep":[42],"methodology":[44,86,194],"abstraction":[46],"entries.":[50],"Inspired":[51],"natural":[53],"language":[54],"processing,":[55],"LSTM-based":[56,148],"models":[59],"were":[60],"proposed.":[61],"They":[62],"try":[63],"predict":[65],"upcoming":[66,166],"events,":[67,167],"and":[68,123,181],"raise":[69],"an":[70],"alert":[72],"when":[73],"a":[74,79,84,88,135,147,172,204],"prediction":[75],"fails":[76],"meet":[78],"certain":[80],"criterion.":[81],"However,":[82],"such":[83],"predict-next-event":[85],"fundamental":[89,159],"limitation:":[90],"predictions":[92],"may":[93],"not":[94],"be":[95],"able":[96],"fully":[98],"exploit":[99],"distinctive":[101],"characteristics":[102],"sequences.":[104],"This":[105],"limitation":[106],"leads":[107],"high":[109],"false":[110],"positives":[111],"(FPs).":[112],"It":[113],"also":[115],"critical":[116],"examine":[118],"structure":[120],"sequences":[122,140],"bi-directional":[125],"causality":[126],"among":[127],"individual":[128],"events.":[129],"To":[130],"end,":[132],"we":[133],"propose":[134,145],"new":[136,193],"methodology:":[137],"Recomposing":[138],"as":[141],"detection.":[143],"We":[144],"DabLog,":[146],"Deep":[149],"Autoencoder-Based":[150],"method":[153],"Logs.":[157],"The":[158],"difference":[160],"that,":[162],"rather":[163],"than":[164],"predicting":[165],"our":[168,192],"approach":[169],"determines":[170],"whether":[171],"sequence":[173],"normal":[175],"or":[176],"abnormal":[177],"analyzing":[179],"(encoding)":[180],"reconstructing":[182],"(decoding)":[183],"given":[185],"sequence.":[186],"Our":[187],"evaluation":[188],"results":[189],"show":[190],"that":[191],"can":[195],"significantly":[196],"reduce":[197],"numbers":[199],"FPs,":[201],"hence":[202],"achieving":[203],"higher":[205],"F1":[206],"score.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-06-22T00:00:00"}