{"id":"https://openalex.org/W2898693590","doi":"https://doi.org/10.1145/3279996.3280032","title":"<i>Retracted on September 10, 2025:</i> PAREEKSHA: a machine learning approach for intrusion and anomaly detection","display_name":"<i>Retracted on September 10, 2025:</i> PAREEKSHA: a machine learning approach for intrusion and anomaly detection","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2898693590","doi":"https://doi.org/10.1145/3279996.3280032","mag":"2898693590"},"language":"en","primary_location":{"id":"doi:10.1145/3279996.3280032","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3279996.3280032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Conference on Data Science, E-learning and Information Systems","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/A5037466905","display_name":"Arun Nagaraja","orcid":"https://orcid.org/0000-0002-2652-4748"},"institutions":[{"id":"https://openalex.org/I106826634","display_name":"Jain University","ror":"https://ror.org/01cnqpt53","country_code":"IN","type":"education","lineage":["https://openalex.org/I106826634"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arun Nagaraja","raw_affiliation_strings":["Jain University, Bangalore, INDIA"],"affiliations":[{"raw_affiliation_string":"Jain University, Bangalore, INDIA","institution_ids":["https://openalex.org/I106826634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073373993","display_name":"Shadi Aljawarneh","orcid":null},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Shadi Aljawarneh","raw_affiliation_strings":["JUST, Jordan"],"affiliations":[{"raw_affiliation_string":"JUST, Jordan","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073797107","display_name":"Prabhakara H. S","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prabhakara H. S","raw_affiliation_strings":["Malnad College of Engineering, Hasan, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Malnad College of Engineering, Hasan, Karnataka, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037466905"],"corresponding_institution_ids":["https://openalex.org/I106826634"],"apc_list":null,"apc_paid":null,"fwci":2.4026,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.92161446,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9878000020980835,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9797000288963318,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6101497411727905},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5696240067481995},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5610623955726624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5497442483901978},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.476468563079834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4746946692466736},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43435773253440857},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.4186265766620636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3572937548160553},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32202067971229553},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.17861980199813843},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12151235342025757},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.08061021566390991}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6101497411727905},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5696240067481995},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5610623955726624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5497442483901978},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.476468563079834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4746946692466736},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43435773253440857},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.4186265766620636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3572937548160553},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32202067971229553},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.17861980199813843},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12151235342025757},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.08061021566390991},{"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3279996.3280032","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3279996.3280032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Conference on Data Science, E-learning and Information Systems","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":62,"referenced_works":["https://openalex.org/W125818563","https://openalex.org/W125869453","https://openalex.org/W1513231349","https://openalex.org/W1554085250","https://openalex.org/W1566480186","https://openalex.org/W1717533658","https://openalex.org/W1884606608","https://openalex.org/W1941823481","https://openalex.org/W1952056635","https://openalex.org/W1992797162","https://openalex.org/W1993426957","https://openalex.org/W1995006124","https://openalex.org/W2033917624","https://openalex.org/W2121035740","https://openalex.org/W2136995341","https://openalex.org/W2150188172","https://openalex.org/W2166366767","https://openalex.org/W2191495690","https://openalex.org/W2193493184","https://openalex.org/W2213467710","https://openalex.org/W2220567469","https://openalex.org/W2283879387","https://openalex.org/W2344532406","https://openalex.org/W2510170228","https://openalex.org/W2537725778","https://openalex.org/W2549066293","https://openalex.org/W2557266189","https://openalex.org/W2557314464","https://openalex.org/W2557761283","https://openalex.org/W2557779747","https://openalex.org/W2557843173","https://openalex.org/W2558089109","https://openalex.org/W2558623596","https://openalex.org/W2559070724","https://openalex.org/W2559184888","https://openalex.org/W2570160403","https://openalex.org/W2573910544","https://openalex.org/W2574209248","https://openalex.org/W2580751378","https://openalex.org/W2596206083","https://openalex.org/W2604105233","https://openalex.org/W2614188298","https://openalex.org/W2616856747","https://openalex.org/W2759696253","https://openalex.org/W2772110660","https://openalex.org/W2772365303","https://openalex.org/W2785783567","https://openalex.org/W2786069311","https://openalex.org/W2787121309","https://openalex.org/W2787366979","https://openalex.org/W2800369870","https://openalex.org/W2803735372","https://openalex.org/W2885080997","https://openalex.org/W2885301212","https://openalex.org/W2886641087","https://openalex.org/W2886733372","https://openalex.org/W2886954500","https://openalex.org/W2993413612","https://openalex.org/W4247114672","https://openalex.org/W4292003697","https://openalex.org/W4300782482","https://openalex.org/W6748231242"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W3036827731","https://openalex.org/W2153633394","https://openalex.org/W2184071978","https://openalex.org/W4394797768","https://openalex.org/W3195682221","https://openalex.org/W2953215755","https://openalex.org/W2139670071","https://openalex.org/W2374223961"],"abstract_inverted_index":{"Membership":[0],"functions":[1],"help":[2],"us":[3],"to":[4,24,51],"identify":[5],"and":[6,29,102,111],"know":[7],"the":[8,36,41,45,71,86,97,114],"similarity":[9],"between":[10],"two":[11],"elements":[12,80],"such":[13,107],"as":[14,88,108],"vectors":[15,47],"or":[16],"sequences.":[17],"The":[18,54,62,90],"objective":[19],"of":[20,38],"this":[21,31],"paper":[22],"is":[23,56,67,93,103],"suggest":[25],"a":[26],"membership":[27,32,73,91,100],"function":[28,33,74,92,101],"apply":[30],"for":[34],"learning":[35,43],"nature":[37],"dataset.":[39],"In":[40],"initial":[42,63],"process,":[44],"element":[46],"obtained":[48,94],"are":[49,81],"grouped":[50],"obtain":[52],"clusters.":[53],"grouping":[55],"carried":[57],"using":[58,70],"incremental":[59],"clustering":[60],"technique.":[61],"knowledge":[64],"thus":[65],"build":[66],"later":[68],"validated":[69],"extended":[72],"so":[75],"that":[76],"any":[77],"wrongly":[78],"classified":[79],"placed":[82],"properly.":[83],"We":[84],"name":[85],"approach":[87],"PAREEKSHA.":[89],"by":[95,105],"extending":[96],"basic":[98],"Gaussian":[99],"inspired":[104],"approaches":[106],"CLAPP,":[109],"G-SPAMINE,":[110],"GARUDA":[112],"in":[113],"recent":[115],"research":[116],"literature.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-11-09T00:00:00"}
