{"id":"https://openalex.org/W2121240115","doi":"https://doi.org/10.1109/ciss.2011.5766239","title":"An efficient feature selection method for distributed cyber attack detection and classification","display_name":"An efficient feature selection method for distributed cyber attack detection and classification","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2121240115","doi":"https://doi.org/10.1109/ciss.2011.5766239","mag":"2121240115"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2011.5766239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2011.5766239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 45th Annual Conference on Information Sciences and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101742692","display_name":"Hoa D. Nguyen","orcid":"https://orcid.org/0000-0003-2177-3478"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hoa Dinh Nguyen","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA","School of Electrical and computer Engineering, Oklahoma State University, Stillwater, 74078 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]},{"raw_affiliation_string":"School of Electrical and computer Engineering, Oklahoma State University, Stillwater, 74078 USA","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053148074","display_name":"Qi Cheng","orcid":"https://orcid.org/0000-0002-2123-9139"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Cheng","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA","School of Electrical and computer Engineering, Oklahoma State University, Stillwater, 74078 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]},{"raw_affiliation_string":"School of Electrical and computer Engineering, Oklahoma State University, Stillwater, 74078 USA","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I115475287"],"apc_list":null,"apc_paid":null,"fwci":1.1441,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76991055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9480999708175659,"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":0.921500027179718,"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":0.7904146909713745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7441352009773254},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6906764507293701},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.646495521068573},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6411046981811523},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5605319738388062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5440692901611328},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5316011905670166},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5153626799583435},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4911803901195526},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4424019455909729},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4366387128829956},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42823129892349243},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.416849285364151},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22106009721755981},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1460978388786316},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13348689675331116}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7904146909713745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7441352009773254},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6906764507293701},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.646495521068573},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6411046981811523},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5605319738388062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5440692901611328},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5316011905670166},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5153626799583435},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4911803901195526},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4424019455909729},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4366387128829956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42823129892349243},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.416849285364151},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22106009721755981},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1460978388786316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13348689675331116},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2011.5766239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2011.5766239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 45th Annual Conference on Information Sciences and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1619226191","https://openalex.org/W2065028222","https://openalex.org/W2105112750","https://openalex.org/W2127994824","https://openalex.org/W2129629259","https://openalex.org/W2131683614","https://openalex.org/W2143559846","https://openalex.org/W2166657964","https://openalex.org/W2540806623","https://openalex.org/W2998216295","https://openalex.org/W4285719527","https://openalex.org/W6675752771","https://openalex.org/W6684679328","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W1504603554","https://openalex.org/W3089647251","https://openalex.org/W2165299150","https://openalex.org/W2740479052","https://openalex.org/W3099747494","https://openalex.org/W2346228996","https://openalex.org/W4200584542","https://openalex.org/W3006113422","https://openalex.org/W3172103400"],"abstract_inverted_index":{"Cyber":[0],"attack":[1,15,37],"has":[2],"become":[3],"a":[4,29,87,117,157,171],"critical":[5],"issue":[6],"over":[7],"the":[8,49,53,61,76,104,145,175],"last":[9],"decade.":[10],"A":[11],"number":[12],"of":[13,24,45,52,60,89,103,137],"cyber":[14,36],"detection":[16,38,146,178],"methods":[17],"have":[18,156],"been":[19],"introduced":[20],"with":[21,48],"different":[22,58,109],"levels":[23],"success.":[25],"In":[26],"this":[27],"paper,":[28],"new":[30,127],"feature":[31,91,112,119,128,152],"selection":[32,113,129],"algorithm":[33,80],"for":[34,82,96,121],"distributed":[35],"and":[39,147,174],"classification":[40,148],"is":[41,108,131,167],"proposed.":[42],"Different":[43],"types":[44],"attacks":[46],"together":[47],"normal":[50],"condition":[51],"network":[54,62],"are":[55,66,94],"modeled":[56],"as":[57],"classes":[59],"data.":[63],"Binary":[64],"classifiers":[65],"used":[67],"at":[68],"local":[69,84,123],"sensors":[70],"to":[71,133,143,155],"distinguish":[72],"each":[73,83,102,122,151],"class":[74,100],"from":[75,101,110],"rest.":[77],"The":[78,126,164],"proposed":[79,165],"outputs":[81],"binary":[85,124],"classifier":[86],"set":[88],"pairwise":[90],"subsets":[92],"which":[93,115,161],"selected":[95],"discriminating":[97],"that":[98],"particular":[99],"rest":[105],"classes.":[106],"This":[107],"conventional":[111],"algorithms,":[114],"select":[116],"unique":[118],"subset":[120,153],"classifier.":[125],"method":[130,166],"shown":[132],"be":[134],"more":[135,158],"capable":[136],"selecting":[138],"all":[139],"relevant":[140],"features,":[141],"thus":[142],"improve":[144],"accuracy.":[149],"Furthermore,":[150],"tends":[154],"compact":[159],"size,":[160],"faciliates":[162],"computation.":[163],"evaluated":[168],"using":[169],"both":[170],"synthetic":[172],"dataset":[173],"KDD1999":[176],"intrusion":[177],"datasets.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}