{"id":"https://openalex.org/W2143811547","doi":"https://doi.org/10.1109/cicybs.2011.5949393","title":"An effective network-based Intrusion Detection using Conserved Self Pattern Recognition Algorithm augmented with near-deterministic detector generation","display_name":"An effective network-based Intrusion Detection using Conserved Self Pattern Recognition Algorithm augmented with near-deterministic detector generation","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2143811547","doi":"https://doi.org/10.1109/cicybs.2011.5949393","mag":"2143811547"},"language":"en","primary_location":{"id":"doi:10.1109/cicybs.2011.5949393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicybs.2011.5949393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)","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/A5113550724","display_name":"Senhua Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Senhua Yu","raw_affiliation_strings":["Department of Computer Science, University of Memphis, Memphis, TN, USA","Dept of Computer Science, The University of Memphis, TN 38152, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Dept of Computer Science, The University of Memphis, TN 38152, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048167872","display_name":"Dipankar Dasgupta","orcid":"https://orcid.org/0000-0002-3097-061X"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dipankar Dasgupta","raw_affiliation_strings":["Department of Computer Science, University of Memphis, Memphis, TN, USA","Dept of Computer Science, The University of Memphis, TN 38152, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Dept of Computer Science, The University of Memphis, TN 38152, USA","institution_ids":["https://openalex.org/I94658018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113550724"],"corresponding_institution_ids":["https://openalex.org/I94658018"],"apc_list":null,"apc_paid":null,"fwci":0.4197,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66727173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9908999800682068,"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9628000259399414,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7129361033439636},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6585081815719604},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6281307935714722},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47947701811790466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37045446038246155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32401710748672485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7129361033439636},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6585081815719604},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6281307935714722},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47947701811790466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37045446038246155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32401710748672485},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cicybs.2011.5949393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicybs.2011.5949393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W63203889","https://openalex.org/W1498351444","https://openalex.org/W1516113782","https://openalex.org/W1557687318","https://openalex.org/W1659689353","https://openalex.org/W1979132095","https://openalex.org/W1993705774","https://openalex.org/W2084543849","https://openalex.org/W2108722601","https://openalex.org/W2117699771","https://openalex.org/W2132758924","https://openalex.org/W2164128149","https://openalex.org/W2171048231","https://openalex.org/W2536534367","https://openalex.org/W3120740533","https://openalex.org/W3124662447","https://openalex.org/W4285719527","https://openalex.org/W6602566466","https://openalex.org/W6637206112"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0,88,154],"Human":[1],"Immune":[2],"System":[3],"(HIS)":[4],"employs":[5],"multilevel":[6],"defense":[7],"against":[8],"harmful":[9],"and":[10,15,36,65,196,216,235],"unseen":[11],"pathogens":[12],"through":[13],"innate":[14],"adaptive":[16,28,66],"immunity.":[17],"Innate":[18],"immunity":[19,29],"protects":[20],"the":[21,24,38,50,54,57,92,101,117,125,131,135,139,159,167,175,179,182,189,198,221],"body":[22],"from":[23],"known":[25,97],"invaders":[26],"whereas":[27],"develops":[30],"a":[31,72,108,144],"memory":[32],"of":[33,49,59,75,94,103,124,127,130,181,193,232],"past":[34],"encounter":[35],"has":[37],"ability":[39,118],"to":[40,62,106,119,165,170,174],"learn":[41],"about":[42],"previously":[43],"unknown":[44],"pathogens.":[45],"These":[46],"salient":[47],"features":[48],"HIS":[51],"are":[52,141,204],"inspiring":[53],"researchers":[55],"in":[56,138,151,230],"area":[58],"intrusion":[60,228],"detection":[61,233],"develop":[63],"automated":[64],"defensive":[67],"tools.":[68],"This":[69],"paper":[70],"presents":[71],"new":[73],"variant":[74],"Conserved":[76],"Self":[77],"Pattern":[78],"Recognition":[79],"Algorithm":[80],"(CSPRA)":[81],"called":[82],"CSPRA-ID":[83,89,140,215,222],"(CSPRA":[84],"for":[85],"Intrusion":[86],"Detection).":[87],"is":[90,149,185,223],"given":[91],"capability":[93],"effectively":[95],"identifying":[96],"intrusions":[98,122],"by":[99],"utilizing":[100],"knowledge":[102],"well-known":[104],"attacks":[105],"build":[107],"conserved":[109],"self":[110],"pattern":[111],"(APC":[112],"detector)":[113],"while":[114],"it":[115],"retains":[116],"detect":[120],"novel":[121,145],"because":[123],"nature":[126],"one-class":[128,217],"classification":[129],"T":[132,136],"detectors.":[133],"Furthermore,":[134],"detectors":[137,199],"generated":[142,205],"with":[143,161,200],"near-deterministic":[146,155],"scheme":[147,157],"that":[148,220],"proposed":[150],"this":[152],"paper.":[153],"generation":[156],"places":[158],"detector":[160,169,184,194],"Brute":[162],"Force":[163],"method":[164],"guarantee":[166],"next":[168],"be":[171],"very":[172],"foreign":[173],"existing":[176],"detector.":[177],"Moreover,":[178],"placement":[180],"variable-sized":[183],"online":[186],"determined":[187],"during":[188],"Monte":[190],"Carlo":[191],"estimate":[192],"coverage":[195],"thus":[197],"an":[201],"optimal":[202],"distribution":[203],"without":[206],"any":[207],"additional":[208],"optimization":[209],"step.":[210],"A":[211],"comparative":[212],"study":[213],"between":[214],"SVM":[218],"shows":[219],"promising":[224],"on":[225],"DARPA":[226],"network":[227],"data":[229],"terms":[231],"accuracy":[234],"computation":[236],"efficiency.":[237]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
