{"id":"https://openalex.org/W3137157842","doi":"https://doi.org/10.1109/bigdata50022.2020.9377815","title":"Highly-Scalable Container Integrity Monitoring for Large-Scale Kubernetes Cluster","display_name":"Highly-Scalable Container Integrity Monitoring for Large-Scale Kubernetes Cluster","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3137157842","doi":"https://doi.org/10.1109/bigdata50022.2020.9377815","mag":"3137157842"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9377815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5025259748","display_name":"Hirokuni Kitahara","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirokuni Kitahara","raw_affiliation_strings":["IBM Research - Tokyo, IBM Japan, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, IBM Japan, Tokyo, Japan","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040198979","display_name":"Kugamoorthy Gajananan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kugamoorthy Gajananan","raw_affiliation_strings":["IBM Research - Tokyo, IBM Japan, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, IBM Japan, Tokyo, Japan","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100998936","display_name":"Yuji Watanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuji Watanabe","raw_affiliation_strings":["IBM Research - Tokyo, IBM Japan, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, IBM Japan, Tokyo, Japan","institution_ids":["https://openalex.org/I4210145865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1345,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81211019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"449","last_page":"454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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/T10400","display_name":"Network Security and Intrusion Detection","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/T12127","display_name":"Software System Performance and Reliability","score":0.9995999932289124,"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":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.8115569353103638},{"id":"https://openalex.org/keywords/container","display_name":"Container (type theory)","score":0.7723613381385803},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6648557186126709},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5588958263397217},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5156904458999634},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49957966804504395},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4942774772644043},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.41204673051834106},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3839758038520813},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3527156710624695},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.28304365277290344},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23381808400154114},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23048394918441772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115569353103638},{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.7723613381385803},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6648557186126709},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5588958263397217},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5156904458999634},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49957966804504395},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4942774772644043},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41204673051834106},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3839758038520813},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3527156710624695},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.28304365277290344},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23381808400154114},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23048394918441772},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9377815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1964394804","https://openalex.org/W2004232665","https://openalex.org/W2034960612","https://openalex.org/W2086467439","https://openalex.org/W2154081981","https://openalex.org/W2165313080","https://openalex.org/W2536497394","https://openalex.org/W2583142597","https://openalex.org/W2900647053","https://openalex.org/W3031062182","https://openalex.org/W6728679191","https://openalex.org/W6756701960","https://openalex.org/W7030505679"],"related_works":["https://openalex.org/W2367301169","https://openalex.org/W2352134912","https://openalex.org/W2001079144","https://openalex.org/W4393477817","https://openalex.org/W2048054615","https://openalex.org/W2974221847","https://openalex.org/W2480624181","https://openalex.org/W2581710029","https://openalex.org/W2055230095","https://openalex.org/W3146804403"],"abstract_inverted_index":{"Container":[0],"integrity":[1],"monitoring":[2,33,36],"is":[3,65],"defined":[4],"as":[5,12,20],"key":[6],"requirements":[7],"for":[8,29,84],"regulatory":[9],"compliance,":[10],"such":[11,19,38,62],"PCI-DSS,":[13],"in":[14,76,99,127],"which":[15],"any":[16,95],"unexpected":[17],"changes":[18],"file":[21],"updates":[22],"or":[23],"program":[24],"runs":[25],"must":[26],"be":[27],"logged":[28],"later":[30],"audit.":[31],"Syscall":[32],"provides":[34],"comprehensive":[35,63],"of":[37,49,73,88],"change":[39],"events":[40,90,126],"on":[41,94,107,135,144],"container,":[42],"while":[43],"it":[44],"suffered":[45],"from":[46,112],"large":[47],"amount":[48],"false":[50],"alarms":[51],"unless":[52],"well-defined":[53],"allowlist":[54,64,97],"rules":[55],"are":[56],"coordinated":[57],"before":[58],"deploying":[59],"container.":[60],"Defining":[61],"not":[66],"feasible":[67],"especially":[68],"when":[69],"managing":[70],"various":[71],"kinds":[72],"application":[74],"workloads":[75],"large-scale":[77,145],"enterprise":[78],"cluster.":[79,146],"We":[80],"propose":[81],"new":[82],"approach":[83],"identifying":[85],"real":[86,128,133],"anomaly":[87],"syscall":[89],"effectively":[91,121],"without":[92],"relying":[93],"predefined":[96],"configuration":[98],"this":[100],"paper.":[101],"Our":[102,130],"novel":[103],"filtering":[104],"algorithm":[105],"based":[106],"the":[108],"knowledge":[109],"acquired":[110],"autonomously":[111],"Kubernetes":[113],"cluster":[114],"control":[115],"plane":[116],"reduces":[117],"99.999":[118],"%":[119],"noise":[120],"and":[122],"distilling":[123],"only":[124],"abnormal":[125],"time.":[129],"experiment":[131],"with":[132],"applications":[134],"more":[136],"than":[137],"4000":[138],"containers":[139],"demonstrates":[140],"its":[141],"effectiveness":[142],"even":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
