{"id":"https://openalex.org/W2773487770","doi":"https://doi.org/10.1109/icacci.2017.8125840","title":"A big data framework for intrusion detection in smart grids using apache spark","display_name":"A big data framework for intrusion detection in smart grids using apache spark","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2773487770","doi":"https://doi.org/10.1109/icacci.2017.8125840","mag":"2773487770"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2017.8125840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8125840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5013755804","display_name":"K. Vimalkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K Vimalkumar","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita University, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita University, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102949477","display_name":"N. Radhika","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N Radhika","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita University, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita University, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013755804"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":4.3965,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.95156255,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"198","last_page":"204"},"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.996999979019165,"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/big-data","display_name":"Big data","score":0.7436275482177734},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.7251052856445312},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.7129489779472351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7128853797912598},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.634595513343811},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6195418834686279},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5939075946807861},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.49508896470069885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4844200909137726},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.482155978679657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47219645977020264},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4601500630378723},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4301730692386627},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1892237663269043}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7436275482177734},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.7251052856445312},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.7129489779472351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128853797912598},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.634595513343811},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6195418834686279},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5939075946807861},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.49508896470069885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4844200909137726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.482155978679657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47219645977020264},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4601500630378723},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4301730692386627},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1892237663269043},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2017.8125840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8125840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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":12,"referenced_works":["https://openalex.org/W1594245479","https://openalex.org/W1963576557","https://openalex.org/W1991510770","https://openalex.org/W2020524857","https://openalex.org/W2025890931","https://openalex.org/W2085618569","https://openalex.org/W2109438750","https://openalex.org/W2154663898","https://openalex.org/W2158454296","https://openalex.org/W2172576284","https://openalex.org/W2185890807","https://openalex.org/W2491116732"],"related_works":["https://openalex.org/W1975949872","https://openalex.org/W3159871278","https://openalex.org/W2230552005","https://openalex.org/W2905242764","https://openalex.org/W3109411864","https://openalex.org/W3017846737","https://openalex.org/W4379407450","https://openalex.org/W3003280185","https://openalex.org/W2613379984","https://openalex.org/W2911634592"],"abstract_inverted_index":{"Technological":[0],"advancement":[1,18],"enables":[2],"the":[3,16,26,30,35,51,78,81,101,104,126,130,158,162,187,192,207],"need":[4],"of":[5,29,53,66,80,168,209],"internet":[6],"everywhere.":[7],"The":[8,59],"power":[9],"industry":[10],"is":[11,25,42,72,95,113,204],"not":[12],"an":[13],"exception":[14],"in":[15,46,87,103,213],"technological":[17],"which":[19,33,203],"makes":[20,34],"everything":[21],"smarter.":[22],"Smart":[23],"grid":[24],"advanced":[27],"version":[28],"traditional":[31],"grid,":[32],"system":[36,212],"more":[37],"efficient":[38],"and":[39,57,68,76,89,120,151,161,174,179],"self-healing.":[40],"Synchrophasor":[41],"a":[43,96,109,201],"device":[44],"used":[45,73,184],"smart":[47,214],"grids":[48,215],"to":[49,74,91,185],"measure":[50],"values":[52],"electric":[54],"waves,":[55],"voltages":[56],"current.":[58],"phasor":[60],"measurement":[61],"unit":[62],"produces":[63],"immense":[64],"volume":[65],"current":[67],"voltage":[69],"data":[70,84,111,218],"that":[71],"monitor":[75],"control":[77],"performance":[79],"grid.":[82],"These":[83],"are":[85,122,155,164,183],"huge":[86],"size":[88],"vulnerable":[90],"attacks.":[92],"Intrusion":[93,210],"Detection":[94,211],"common":[97],"technique":[98],"for":[99,157,206],"finding":[100],"intrusions":[102,121],"system.":[105],"In":[106,133],"this":[107,134],"paper,":[108],"big":[110,217],"framework":[112],"designed":[114],"using":[115,166,216],"various":[116,136],"machine":[117,137],"learning":[118,138],"techniques,":[119],"detected":[123],"based":[124],"on":[125,129],"classifications":[127,154],"applied":[128],"synchrophasor":[131,159],"dataset.":[132],"approach":[135],"techniques":[139],"like":[140],"deep":[141],"neural":[142],"networks,":[143],"support":[144],"vector":[145],"machines,":[146],"random":[147],"forest,":[148],"decision":[149],"trees":[150],"naive":[152],"bayes":[153],"done":[156],"dataset":[160],"results":[163],"compared":[165],"metrics":[167],"accuracy,":[169],"recall,":[170],"false":[171],"rate,":[172],"specificity,":[173],"prediction":[175,188],"time.":[176],"Feature":[177],"selection":[178],"dimensionality":[180],"reduction":[181],"algorithms":[182],"reduce":[186],"time":[189],"taken":[190],"by":[191],"proposed":[193],"approach.":[194],"This":[195],"paper":[196],"uses":[197],"apache":[198],"spark":[199],"as":[200],"platform":[202],"suitable":[205],"implementation":[208],"analytics.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
