{"id":"https://openalex.org/W2569191333","doi":"https://doi.org/10.1109/icsai.2016.7811048","title":"A scalable genetic algorithm for discovering comprehensible anomaly detection rules using big data in computer cluster","display_name":"A scalable genetic algorithm for discovering comprehensible anomaly detection rules using big data in computer cluster","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2569191333","doi":"https://doi.org/10.1109/icsai.2016.7811048","mag":"2569191333"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2016.7811048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2016.7811048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 3rd International Conference on Systems and Informatics (ICSAI)","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/A5042644835","display_name":"Lei Zhao","orcid":"https://orcid.org/0000-0002-6551-2707"},"institutions":[{"id":"https://openalex.org/I4210156189","display_name":"Shanghai Dianji University","ror":"https://ror.org/055fene14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhao","raw_affiliation_strings":["School of Electronic Information, Shanghai Dianji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Shanghai Dianji University, Shanghai, China","institution_ids":["https://openalex.org/I4210156189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043329874","display_name":"Yuan Ren","orcid":"https://orcid.org/0000-0003-1150-6608"},"institutions":[{"id":"https://openalex.org/I4210156189","display_name":"Shanghai Dianji University","ror":"https://ror.org/055fene14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Ren","raw_affiliation_strings":["School of Electronic Information, Shanghai Dianji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Shanghai Dianji University, Shanghai, China","institution_ids":["https://openalex.org/I4210156189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210156189"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16684603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"727","last_page":"731"},"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":0.9986000061035156,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.8239924907684326},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8216793537139893},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7085486650466919},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.618910014629364},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6065801382064819},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5409932732582092},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.5145134925842285},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4950034022331238},{"id":"https://openalex.org/keywords/computer-cluster","display_name":"Computer cluster","score":0.45868396759033203},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4433876574039459},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4307599365711212},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41754329204559326},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4174475073814392},{"id":"https://openalex.org/keywords/trie","display_name":"Trie","score":0.4111616611480713},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.38013651967048645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28413549065589905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28360116481781006},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.2531982660293579},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.152895987033844},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.12483489513397217},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.09461572766304016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8239924907684326},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8216793537139893},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7085486650466919},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.618910014629364},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6065801382064819},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5409932732582092},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.5145134925842285},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4950034022331238},{"id":"https://openalex.org/C29140674","wikidata":"https://www.wikidata.org/wiki/Q206637","display_name":"Computer cluster","level":2,"score":0.45868396759033203},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4433876574039459},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4307599365711212},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41754329204559326},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4174475073814392},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.4111616611480713},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.38013651967048645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28413549065589905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28360116481781006},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2531982660293579},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.152895987033844},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.12483489513397217},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.09461572766304016},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icsai.2016.7811048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2016.7811048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 3rd International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"},{"id":"mag:2750074500","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702246029545185","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320317527","display_name":"Shanghai DianJi University","ror":"https://ror.org/055fene14"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1494137514","https://openalex.org/W1518828203","https://openalex.org/W1527282796","https://openalex.org/W2007087405","https://openalex.org/W2096847629","https://openalex.org/W2131389289","https://openalex.org/W2162400510","https://openalex.org/W2164210932","https://openalex.org/W6629518394","https://openalex.org/W6631025627","https://openalex.org/W6631701167","https://openalex.org/W6674805939"],"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/W3030345572"],"abstract_inverted_index":{"The":[0,52],"development":[1],"of":[2,48,66,96],"big":[3,46],"data":[4,47,94],"and":[5,18,79,106,115],"cloud":[6],"computing":[7],"has":[8],"made":[9],"it":[10],"a":[11,27,64,69,80,92,97],"critical":[12],"task":[13],"for":[14,40,117],"detecting":[15],"anomalous":[16],"behaviors":[17],"events":[19],"in":[20,121],"computer":[21,122],"network":[22,41,118],"technology.":[23],"This":[24],"work":[25],"presents":[26],"scalable":[28],"genetic":[29],"algorithm":[30,34],"(SGA)":[31],"based":[32],"classification":[33,61],"to":[35,57],"discover":[36],"comprehensible":[37],"IF-THEN":[38],"rules":[39,62],"anomaly":[42,59,119],"detection":[43,60,120],"using":[44,100],"the":[45,101,104,111],"Management":[49],"Information":[50],"Base.":[51],"SGA":[53],"can":[54],"be":[55],"used":[56],"find":[58],"from":[63],"cluster":[65],"computers":[67],"with":[68],"message":[70],"passing":[71],"interface":[72],"(MPI)":[73],"standard.":[74],"A":[75],"new":[76,81],"chromosome":[77],"encoding":[78],"fitness":[82],"function":[83],"scheme":[84],"are":[85,89],"also":[86],"given.":[87],"Experiments":[88],"done":[90],"on":[91],"real":[93],"set":[95],"large-size":[98],"company":[99],"algorithm.":[102],"Both":[103],"theoretical":[105],"experimental":[107],"results":[108],"show":[109],"that":[110],"method":[112],"is":[113],"effective":[114],"efficient":[116],"clusters.":[123]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}