{"id":"https://openalex.org/W3090643576","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206805","title":"P-DNN: An Effective Intrusion Detection Method based on Pruning Deep Neural Network","display_name":"P-DNN: An Effective Intrusion Detection Method based on Pruning Deep Neural Network","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090643576","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206805","mag":"3090643576"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5020797239","display_name":"Mingjian Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingjian Lei","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673949","display_name":"Xiaoyong Li","orcid":"https://orcid.org/0000-0001-5597-9306"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyong Li","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050671370","display_name":"Binsi Cai","orcid":"https://orcid.org/0000-0002-7084-5952"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binsi Cai","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100326034","display_name":"Yunfeng Li","orcid":"https://orcid.org/0000-0003-3709-0188"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfeng Li","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055202840","display_name":"Limengwei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limengwei Liu","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005945898","display_name":"Wenping Kong","orcid":"https://orcid.org/0000-0003-4806-9966"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenping Kong","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5020797239"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.6977,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85628301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7968147993087769},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7452064752578735},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7157776355743408},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6914480924606323},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5542699694633484},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4991800785064697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48968198895454407},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4600055515766144},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4482264816761017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44046691060066223},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4224722981452942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7968147993087769},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7452064752578735},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7157776355743408},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6914480924606323},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5542699694633484},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4991800785064697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48968198895454407},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4600055515766144},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4482264816761017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44046691060066223},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4224722981452942},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W38509708","https://openalex.org/W135902891","https://openalex.org/W162146437","https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1799366690","https://openalex.org/W1866355538","https://openalex.org/W1904365287","https://openalex.org/W1962980066","https://openalex.org/W1988918299","https://openalex.org/W1995126785","https://openalex.org/W2006023956","https://openalex.org/W2059682003","https://openalex.org/W2062227835","https://openalex.org/W2099940443","https://openalex.org/W2100537916","https://openalex.org/W2108060276","https://openalex.org/W2112796928","https://openalex.org/W2118978333","https://openalex.org/W2119384818","https://openalex.org/W2146502635","https://openalex.org/W2156387975","https://openalex.org/W2161591461","https://openalex.org/W2163605009","https://openalex.org/W2169768310","https://openalex.org/W2276892413","https://openalex.org/W2325361115","https://openalex.org/W2770398148","https://openalex.org/W2807656656","https://openalex.org/W2912319700","https://openalex.org/W2926701059","https://openalex.org/W2952899695","https://openalex.org/W2962965870","https://openalex.org/W2963674932","https://openalex.org/W2964121744","https://openalex.org/W4235765578","https://openalex.org/W6601583006","https://openalex.org/W6605567061","https://openalex.org/W6629815555","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638444622","https://openalex.org/W6640036494","https://openalex.org/W6676028392","https://openalex.org/W6677954473","https://openalex.org/W6681435938","https://openalex.org/W6682889407","https://openalex.org/W6683826617","https://openalex.org/W6684191040","https://openalex.org/W6726275242","https://openalex.org/W6746224305","https://openalex.org/W6751855928"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2357468538","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W1577110157","https://openalex.org/W4206442282","https://openalex.org/W2964217848"],"abstract_inverted_index":{"Today,":[0],"the":[1,10,14,27,30,35,43,56,105,109,116,121,124,128,134,139,146,149,183,186],"scale":[2],"of":[3,17,29,32,59,123,148,164,173],"global":[4,18],"Internet":[5,11,31],"users":[6],"continues":[7],"to":[8,132,144,194,200],"grow;":[9],"has":[12],"become":[13],"main":[15],"driver":[16],"economic":[19],"growth;":[20],"IoT":[21],"technology":[22],"is":[23,39,49,192,198],"also":[24,50],"constantly":[25],"pushing":[26],"process":[28],"Everything.":[33],"However,":[34],"ever-changing":[36],"cybersecurity":[37],"situation":[38],"not":[40],"optimistic":[41],"and":[42,98,151,169,196],"people's":[44],"demand":[45],"for":[46,55,166,175],"secure":[47],"network":[48,94,131],"increasing.":[51],"In":[52],"this":[53],"paper,":[54],"biggest":[57],"challenge":[58],"building":[60,66],"anomaly-based":[61],"Network":[62],"Intrusion":[63],"Detection":[64],"System:":[65],"a":[67,91,161,170],"high-performance":[68],"intrusion":[69,78,100,188],"detection":[70,79,101,162,171,189],"classifier":[71],"model,":[72],"we":[73,89],"first":[74],"propose":[75],"an":[76],"effective":[77],"method":[80,150],"based":[81],"on":[82],"pruning":[83,106],"deep":[84,92,129],"neural":[85,93,130],"network:":[86],"P-DNN.":[87],"Firstly,":[88],"train":[90],"with":[95,111,180],"complex":[96],"structure":[97],"good":[99],"performance.":[102],"Secondly,":[103],"through":[104],"operation,":[107],"only":[108],"connections":[110],"more":[112],"important":[113],"information":[114],"in":[115],"weight":[117],"are":[118],"reserved,":[119],"reducing":[120],"complexity":[122],"model.":[125,136],"Finally,":[126],"retrain":[127],"find":[133],"best":[135,187],"We":[137],"use":[138],"KDD":[140],"Cup":[141],"99":[142],"dataset":[143],"evaluate":[145],"effectiveness":[147],"achieve":[152],"exciting":[153],"results.":[154],"The":[155],"model":[156,184],"constructed":[157],"by":[158],"P-DNN":[159],"achieves":[160,185],"rate":[163,172],"0.9904":[165],"known":[167],"attacks":[168],"0.1050":[174],"unknown":[176],"attacks.":[177],"By":[178],"comparing":[179],"related":[181],"work,":[182],"performance:":[190],"COST":[191],"reduced":[193],"0.1875":[195],"ACC":[197],"increased":[199],"0.9317.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2025-10-10T00:00:00"}