{"id":"https://openalex.org/W2432613280","doi":"https://doi.org/10.1093/comjnl/bxv078","title":"Multi-Measure Multi-Weight Ranking Approach for the Identification of the Network Features for the Detection of DoS and Probe Attacks","display_name":"Multi-Measure Multi-Weight Ranking Approach for the Identification of the Network Features for the Detection of DoS and Probe Attacks","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2432613280","doi":"https://doi.org/10.1093/comjnl/bxv078","mag":"2432613280"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxv078","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxv078","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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/A5036126864","display_name":"Sangeeta Bhattacharya","orcid":"https://orcid.org/0000-0001-6898-7911"},"institutions":[{"id":"https://openalex.org/I122964287","display_name":"National Institute of Technology Tiruchirappalli","ror":"https://ror.org/047x65e68","country_code":"IN","type":"education","lineage":["https://openalex.org/I122964287"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sangeeta Bhattacharya","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India","Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India","institution_ids":["https://openalex.org/I122964287"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India#TAB#","institution_ids":["https://openalex.org/I122964287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100638043","display_name":"S. Selvakumar","orcid":"https://orcid.org/0000-0002-4900-4745"},"institutions":[{"id":"https://openalex.org/I122964287","display_name":"National Institute of Technology Tiruchirappalli","ror":"https://ror.org/047x65e68","country_code":"IN","type":"education","lineage":["https://openalex.org/I122964287"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Selvakumar","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India","Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India","institution_ids":["https://openalex.org/I122964287"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India#TAB#","institution_ids":["https://openalex.org/I122964287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036126864"],"corresponding_institution_ids":["https://openalex.org/I122964287"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":0.677,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.7720837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"59","issue":"6","first_page":"923","last_page":"943"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9948999881744385,"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":0.9941999912261963,"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/feature-selection","display_name":"Feature selection","score":0.7820501327514648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181276082992554},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.655331015586853},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6477886438369751},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6313304305076599},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.625191867351532},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5972296595573425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5937620401382446},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5655475854873657},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.534740149974823},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5310041904449463},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43047231435775757},{"id":"https://openalex.org/keywords/minimum-redundancy-feature-selection","display_name":"Minimum redundancy feature selection","score":0.41830700635910034}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7820501327514648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181276082992554},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.655331015586853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6477886438369751},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6313304305076599},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.625191867351532},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5972296595573425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5937620401382446},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5655475854873657},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.534740149974823},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5310041904449463},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43047231435775757},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.41830700635910034},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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":2,"locations":[{"id":"doi:10.1093/comjnl/bxv078","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxv078","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"},{"id":"pmh:oai:open-archive.highwire.org:comjnl:59/6/923","is_oa":false,"landing_page_url":"http://comjnl.oxfordjournals.org/cgi/content/short/59/6/923","pdf_url":null,"source":{"id":"https://openalex.org/S4406923041","display_name":"HighWire Press Open Archive","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"TEXT"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W33196642","https://openalex.org/W170447349","https://openalex.org/W969507161","https://openalex.org/W1500895378","https://openalex.org/W1511622987","https://openalex.org/W1591480890","https://openalex.org/W1598874232","https://openalex.org/W1599608381","https://openalex.org/W1833977909","https://openalex.org/W1973989855","https://openalex.org/W1980529734","https://openalex.org/W1984438447","https://openalex.org/W1988918299","https://openalex.org/W2011430131","https://openalex.org/W2024550571","https://openalex.org/W2029674613","https://openalex.org/W2031163547","https://openalex.org/W2048651845","https://openalex.org/W2065519815","https://openalex.org/W2076384720","https://openalex.org/W2099940443","https://openalex.org/W2132166479","https://openalex.org/W2133990480","https://openalex.org/W2135511047","https://openalex.org/W2142827986","https://openalex.org/W2148143831","https://openalex.org/W2153233077","https://openalex.org/W2158275940","https://openalex.org/W2158544648","https://openalex.org/W2164128149","https://openalex.org/W2166015814","https://openalex.org/W2963331194","https://openalex.org/W4241025692","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2156571267","https://openalex.org/W2998727463","https://openalex.org/W2805829984","https://openalex.org/W4388573469","https://openalex.org/W3135058836","https://openalex.org/W4249305026","https://openalex.org/W2883787619","https://openalex.org/W2940071312","https://openalex.org/W2290248771","https://openalex.org/W2286904880"],"abstract_inverted_index":{"Efficient":[0],"detection":[1,125],"of":[2,8,12,17,48,61,119,143],"network":[3],"attacks":[4,162],"necessitates":[5],"the":[6,14,18,36,59,77,128,141,144,148,153,157,161],"identification":[7,73],"important":[9,133],"features,":[10],"capable":[11],"characterizing":[13],"attacks.":[15,139],"Most":[16],"feature":[19,42,51,72,81],"selection":[20,43,52,82],"techniques":[21],"are":[22,45,131],"based":[23],"either":[24],"on":[25,30],"a":[26,31,49,62,69],"particular":[27,32,50],"measure":[28],"or":[29],"learning":[33],"algorithm.":[34],"As":[35],"features":[37,118,130,154],"selected":[38],"by":[39,156],"each":[40,92,111],"such":[41],"technique":[44,53],"different,":[46],"use":[47],"is":[54],"not":[55],"enough":[56],"to":[57,67,87,91,107,110],"assess":[58],"importance":[60],"feature.":[63,93,112],"This":[64],"motivated":[65],"us":[66],"propose":[68],"multi-measure":[70],"multi-weight":[71],"approach":[74,146,159],"which":[75],"combines":[76],"filter":[78],"and":[79,84,101,137],"wrapper":[80,100],"methods":[83,86],"clustering":[85,102],"assign":[88,108],"multiple":[89],"weights":[90,109],"Two":[94],"novel":[95],"weight":[96],"assignment":[97],"algorithms":[98,150],"for":[99],"method":[103],"have":[104],"been":[105],"proposed":[106,145,158],"Experiments":[113],"performed":[114],"with":[115,147,163],"top":[116],"weighted":[117],"10%":[120],"KDD":[121],"Cup":[122],"99":[123],"intrusion":[124],"dataset":[126],"shows":[127,151],"identified":[129,155],"indeed":[132],"in":[134],"detecting":[135],"DoS":[136],"probe":[138],"Also,":[140],"comparison":[142],"existing":[149],"that":[152],"detects":[160],"higher":[164],"accuracy.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
