{"id":"https://openalex.org/W3113001767","doi":"https://doi.org/10.1109/isse49799.2020.9272237","title":"Comparative Analysis of Cyber Security Approaches Using Machine Learning in Industry 4.0","display_name":"Comparative Analysis of Cyber Security Approaches Using Machine Learning in Industry 4.0","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3113001767","doi":"https://doi.org/10.1109/isse49799.2020.9272237","mag":"3113001767"},"language":"en","primary_location":{"id":"doi:10.1109/isse49799.2020.9272237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isse49799.2020.9272237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Systems Engineering (ISSE)","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/A5071315246","display_name":"F. Sumeyye Cebeloglu","orcid":null},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"F. Sumeyye Cebeloglu","raw_affiliation_strings":["Computer Engineering, Firat University, Elazig, Turkey"],"affiliations":[{"raw_affiliation_string":"Computer Engineering, Firat University, Elazig, Turkey","institution_ids":["https://openalex.org/I143396566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082965948","display_name":"Mehmet Karak\u00f6se","orcid":"https://orcid.org/0000-0002-3276-3788"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Karakose","raw_affiliation_strings":["Computer Engineering, Firat University, Elazig, Turkey"],"affiliations":[{"raw_affiliation_string":"Computer Engineering, Firat University, Elazig, Turkey","institution_ids":["https://openalex.org/I143396566"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071315246"],"corresponding_institution_ids":["https://openalex.org/I143396566"],"apc_list":null,"apc_paid":null,"fwci":0.3084,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62650643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7475351691246033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6686322093009949},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6499195694923401},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6445157527923584},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.587472140789032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5715643763542175},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5371572971343994},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4812774062156677},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.4774485230445862},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4371328055858612},{"id":"https://openalex.org/keywords/industrial-internet","display_name":"Industrial Internet","score":0.4130741059780121},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37133920192718506},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.35118916630744934},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.20465078949928284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7475351691246033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6686322093009949},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6499195694923401},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6445157527923584},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.587472140789032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5715643763542175},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5371572971343994},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4812774062156677},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.4774485230445862},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4371328055858612},{"id":"https://openalex.org/C202839342","wikidata":"https://www.wikidata.org/wiki/Q60740481","display_name":"Industrial Internet","level":3,"score":0.4130741059780121},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37133920192718506},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.35118916630744934},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.20465078949928284},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isse49799.2020.9272237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isse49799.2020.9272237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Systems Engineering (ISSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2048697945","https://openalex.org/W2075424814","https://openalex.org/W2125181371","https://openalex.org/W2480523851","https://openalex.org/W2492536283","https://openalex.org/W2507920413","https://openalex.org/W2512144135","https://openalex.org/W2570928679","https://openalex.org/W2737940375","https://openalex.org/W2743584090","https://openalex.org/W2771633073","https://openalex.org/W2791750046","https://openalex.org/W2793913589","https://openalex.org/W2803820765","https://openalex.org/W2861867928","https://openalex.org/W2862150274","https://openalex.org/W2885128583","https://openalex.org/W2899599931","https://openalex.org/W2902264868","https://openalex.org/W2907351452","https://openalex.org/W2922507528","https://openalex.org/W2929803724","https://openalex.org/W2943388243","https://openalex.org/W2956382671","https://openalex.org/W2956968975","https://openalex.org/W2995450656","https://openalex.org/W2996459903","https://openalex.org/W2997907595","https://openalex.org/W3098996042","https://openalex.org/W4246159977"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W3210764983","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W4380048833","https://openalex.org/W4285162676","https://openalex.org/W3036529732","https://openalex.org/W4382052559"],"abstract_inverted_index":{"The":[0,162],"concept":[1],"of":[2,30,52,75,138,153,164],"Industry":[3,33,216],"4.0":[4],"emerged":[5],"due":[6],"to":[7,25,72,77,87,94,97,130,194,203],"the":[8,13,15,23,28,35,38,47,50,53,58,73,78,132,136,139,151,154],"increase":[9],"in":[10,12,20,43,113,123,156,170,215],"production":[11,21],"industry,":[14],"need":[16],"for":[17],"high":[18],"efficiency":[19],"and":[22,65,117,143,150,186],"desire":[24],"benefit":[26],"from":[27,37,135],"features":[29],"technology.":[31,60],"In":[32,70,100,128],"4.0,":[34],"data":[36,133],"systems":[39,54,86,93,110],"can":[40,61],"be":[41,62,95],"used":[42,193],"real":[44],"time":[45],"with":[46,89,211],"internet":[48,59],"technology,":[49],"operation":[51],"is":[55,104,201],"automated":[56],"using":[57],"remotely":[63],"controlled":[64],"managed":[66],"by":[67],"system":[68,141],"administrators.":[69],"addition":[71],"contribution":[74],"technology":[76,82],"industrial":[79,140],"field,":[80],"network":[81,142],"that":[83,106],"enables":[84],"critical":[85],"communicate":[88],"each":[90,165],"other":[91],"causes":[92],"exposed":[96],"cyber":[98,158],"attacks.":[99,127,172,196],"this":[101,198],"study,":[102,199],"it":[103,200],"mentioned":[105],"signature-based":[107],"attack":[108,208],"detection":[109,209],"aren't":[111],"effective":[112],"new":[114],"generation":[115,126],"attacks":[116,159],"machine":[118,144,212],"learning":[119,145,213],"algorithms":[120,147,155,191],"are":[121,192],"successful":[122],"detecting":[124],"next":[125],"order":[129],"verify,":[131],"obtained":[134],"traffic":[137],"(ML)":[146],"were":[148,160],"trained":[149],"performances":[152],"predicting":[157,171],"compared.":[161],"performance":[163],"algorithm":[166],"shows":[167],"their":[168],"accuracy":[169],"Traditional":[173],"Decision":[174],"Tree,":[175],"Random":[176],"Forest,":[177],"K":[178],"Nearest":[179],"Neighbor":[180],"(KNN),":[181],"Naive":[182],"Bayes,":[183],"Logistic":[184],"Regression":[185],"Support":[187],"Vector":[188],"Machine":[189],"(SVM)":[190],"detect":[195],"With":[197],"aimed":[202],"gain":[204],"a":[205],"perspective":[206],"on":[207],"studies":[210],"techniques":[214],"4.0.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}