{"id":"https://openalex.org/W2594097126","doi":"https://doi.org/10.4018/ijkdb.2017010105","title":"K-NN Based Outlier Detection Technique on Intrusion Dataset","display_name":"K-NN Based Outlier Detection Technique on Intrusion Dataset","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2594097126","doi":"https://doi.org/10.4018/ijkdb.2017010105","mag":"2594097126"},"language":"en","primary_location":{"id":"doi:10.4018/ijkdb.2017010105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijkdb.2017010105","pdf_url":null,"source":{"id":"https://openalex.org/S113982356","display_name":"International Journal of Knowledge Discovery in Bioinformatics","issn_l":"1947-9115","issn":["1947-9115","1947-9123"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge Discovery in Bioinformatics","raw_type":"journal-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/A5010597928","display_name":"Santosh Kumar Sahu","orcid":"https://orcid.org/0000-0001-7887-2261"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Santosh Kumar Sahu","raw_affiliation_strings":["National Institute of Technology, Department of Computer Science and Engineering, Rourkela, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Department of Computer Science and Engineering, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101666946","display_name":"Sanjay Kumar Jena","orcid":"https://orcid.org/0000-0002-1619-8360"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanjay Kumar Jena","raw_affiliation_strings":["National Institute of Technology, Department of Computer Science and Engineering, Rourkela, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Department of Computer Science and Engineering, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104014162","display_name":"Manish Verma","orcid":"https://orcid.org/0000-0002-4814-6987"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manish Verma","raw_affiliation_strings":["National Institute of Technology, Department of Computer Science and Engineering, Rourkela, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Department of Computer Science and Engineering, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010597928"],"corresponding_institution_ids":["https://openalex.org/I16292982"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59153202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":"1","first_page":"58","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7519785761833191},{"id":"https://openalex.org/keywords/local-outlier-factor","display_name":"Local outlier factor","score":0.6885902881622314},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6649893522262573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6430127620697021},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.615500271320343},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5978557467460632},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5598068833351135},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5554717183113098},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5136181712150574},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4920062720775604},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.46175479888916016},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.4515480399131775},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43276044726371765},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4287724196910858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4263232350349426},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4198577105998993},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40695473551750183},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2787458300590515},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26391106843948364},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.06759387254714966}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7519785761833191},{"id":"https://openalex.org/C169029474","wikidata":"https://www.wikidata.org/wiki/Q387942","display_name":"Local outlier factor","level":3,"score":0.6885902881622314},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6649893522262573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6430127620697021},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.615500271320343},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5978557467460632},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5598068833351135},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5554717183113098},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5136181712150574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4920062720775604},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.46175479888916016},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.4515480399131775},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43276044726371765},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4287724196910858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4263232350349426},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4198577105998993},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40695473551750183},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2787458300590515},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26391106843948364},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.06759387254714966},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijkdb.2017010105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijkdb.2017010105","pdf_url":null,"source":{"id":"https://openalex.org/S113982356","display_name":"International Journal of Knowledge Discovery in Bioinformatics","issn_l":"1947-9115","issn":["1947-9115","1947-9123"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge Discovery in Bioinformatics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jkdb00:v:7:y:2017:i:1:p:58-70","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKDB.2017010105","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W39464122","https://openalex.org/W1552339598","https://openalex.org/W1600438614","https://openalex.org/W1974143005","https://openalex.org/W2090197195","https://openalex.org/W2099384706","https://openalex.org/W2099940443","https://openalex.org/W2102999520","https://openalex.org/W2111160323","https://openalex.org/W2129281431","https://openalex.org/W2144182447","https://openalex.org/W2148610006","https://openalex.org/W2161807639","https://openalex.org/W2295337027","https://openalex.org/W2400678587","https://openalex.org/W2509261273"],"related_works":["https://openalex.org/W2770832849","https://openalex.org/W205872183","https://openalex.org/W114119537","https://openalex.org/W2904893831","https://openalex.org/W2912112202","https://openalex.org/W2499112530","https://openalex.org/W3117098906","https://openalex.org/W2362413895","https://openalex.org/W4283655540","https://openalex.org/W4304761972"],"abstract_inverted_index":{"Outliers":[0],"in":[1,34,71,94,107,151],"the":[2,5,10,13,27,32,35,38,48,97,124,128,144,153,156],"database":[3],"are":[4],"objects":[6],"that":[7,70,74,86],"deviate":[8],"from":[9,53],"rest":[11],"of":[12,29,31,50],"dataset":[14,136],"by":[15],"some":[16],"measure.":[17],"The":[18,131,147],"Nearest":[19],"Neighbor":[20],"Outlier":[21,43],"Factor":[22],"is":[23,137,149],"considering":[24],"to":[25,81,111],"measure":[26],"degree":[28],"outlier-ness":[30],"object":[33,63],"dataset.":[36],"Unlike":[37],"other":[39],"methods":[40],"like":[41],"Local":[42],"Factor,":[44],"this":[45],"approach":[46],"shows":[47],"interest":[49],"a":[51,122],"point":[52],"both":[54,152],"neighbors":[55,85,115],"and":[56,59,133,139],"reverse":[57],"neighbors,":[58],"after":[60],"that,":[61],"an":[62],"comes":[64],"into":[65],"consideration.":[66],"We":[67],"have":[68],"observed":[69],"GBBK":[72,145],"algorithm":[73],"based":[75],"on":[76,102],"K-NN,":[77],"used":[78],"quick":[79],"sort":[80],"find":[82,112],"k":[83,113],"nearest":[84,114],"take":[87],"O":[88,108],"(N":[89],"log":[90,119],"N)":[91],"time.":[92],"However,":[93],"proposed":[95,125,157],"method,":[96],"time":[98,110,129,161],"required":[99],"for":[100,162],"searching":[101],"K":[103],"times":[104],"which":[105],"complete":[106],"(KN)":[109],"(k":[116],"&amp;lt;":[117,118],"N).":[120],"As":[121],"result,":[123],"method":[126,158],"improves":[127],"complexity.":[130],"NSL-KDD":[132],"Fisher":[134],"iris":[135],"used,":[138],"experimental":[140],"results":[141],"compared":[142],"with":[143],"method.":[146],"result":[148],"same":[150],"methods,":[154],"but":[155],"takes":[159],"less":[160],"computation.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
