乐胖代购免代理版

{"id":"https://openalex.org/W4385078858","doi":"https://doi.org/10.1109/iwcmc58020.2023.10182443","title":"L-IDS: A Lifelong Learning Approach for Intrusion Detection","display_name":"L-IDS: A Lifelong Learning Approach for Intrusion Detection","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W4385078858","doi":"https://doi.org/10.1109/iwcmc58020.2023.10182443"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc58020.2023.10182443","pdf_url":null,"source":{"id":"https://openalex.org/S4363605313","display_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5027576585","display_name":"Hossein Doroud","orcid":"https://orcid.org/0000-0003-0730-0906"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hossein Doroud","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, TU Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, TU Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012342545","display_name":"Omar Alkhateeb","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Omar Alkhateeb","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, TU Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, TU Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087593379","display_name":"Elnaz Alizadeh Jarchlo","orcid":"https://orcid.org/0000-0002-9388-3863"},"institutions":[],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elnaz Alizadeh Jarchlo","raw_affiliation_strings":["Scout24, Germany"],"affiliations":[{"raw_affiliation_string":"Scout24, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042212040","display_name":"Falko Dressler","orcid":"https://orcid.org/0000-0002-1989-1750"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Falko Dressler","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, TU Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, TU Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":"482","last_page":"487"},"is_retracted":false,"is_paratext":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":0.9953,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9943,"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":[],"concepts":[{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.6868923},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.67482466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6219251},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.4158106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3386664},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.22277346},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12529764},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc58020.2023.10182443","pdf_url":null,"source":{"id":"https://openalex.org/S4363605313","display_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":24,"referenced_works":["https://openalex.org/W1509669977","https://openalex.org/W1510025668","https://openalex.org/W2021132518","https://openalex.org/W2064774462","https://openalex.org/W2120250216","https://openalex.org/W2125055259","https://openalex.org/W2296509296","https://openalex.org/W2344573374","https://openalex.org/W2626590196","https://openalex.org/W2758219826","https://openalex.org/W2768529825","https://openalex.org/W2820900234","https://openalex.org/W2886020981","https://openalex.org/W2924689635","https://openalex.org/W2958285686","https://openalex.org/W2959717179","https://openalex.org/W3012677073","https://openalex.org/W3026935788","https://openalex.org/W3035277727","https://openalex.org/W3093253286","https://openalex.org/W3210143290","https://openalex.org/W34738725","https://openalex.org/W4297997487","https://openalex.org/W45323394"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W422428167","https://openalex.org/W2748952813","https://openalex.org/W2499777278","https://openalex.org/W2384383462","https://openalex.org/W2380954666","https://openalex.org/W2364105709","https://openalex.org/W2133389611","https://openalex.org/W2037025106","https://openalex.org/W1981922029"],"abstract_inverted_index":{"Intrusion":[0],"detection":[1,88],"systems":[2],"(IDS)":[3],"represent":[4],"a":[5,44,73,85,118,137],"class":[6],"of":[7,14,29,43,46,52,59,94,105,111,129,140],"defensive":[8],"security":[9],"tools":[10],"with":[11,91,144],"the":[12,16,21,26,41,50,60,92,95,101,109,123,127,145],"purpose":[13],"protecting":[15],"network":[17,22,53,96],"from":[18,72],"intruders":[19],"in":[20,108,126,142],"administrator's":[23],"arsenal.":[24],"Despite":[25],"high":[27],"precision":[28,141],"traditional":[30],"signature-based":[31,112,147],"IDS,":[32,68],"its":[33],"effectiveness":[34],"is":[35,56],"still":[36],"under":[37],"question":[38],"due":[39],"to":[40,65,99],"growth":[42],"number":[45],"encrypted":[47],"attacks":[48],"and":[49,83,120],"volume":[51],"traffic.":[54],"This":[55],"considered":[57],"one":[58],"main":[61],"motivations":[62],"for":[63],"researchers":[64],"develop":[66],"anomaly-based":[67],"which":[69],"usually":[70],"suffer":[71],"higher":[74,138],"false":[75,102],"positive":[76,103],"rate.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81],"propose":[82],"implement":[84],"lifelong-learning":[86],"anomaly":[87,106],"IDS":[89],"(L-IDS)":[90],"capability":[93],"environment's":[97],"adaption":[98],"limit":[100],"rate":[104],"detector":[107],"range":[110],"IDS.":[113,148],"We":[114,132],"consider":[115],"Snort":[116],"as":[117,122],"baseline":[119],"UNSW-NB15":[121],"ground":[124],"truth":[125],"evaluation":[128],"our":[130],"proposal.":[131],"demonstrate":[133],"how":[134],"L-IDS":[135],"achieves":[136],"level":[139],"comparison":[143],"existing":[146]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4385078858","counts_by_year":[],"updated_date":"2025-01-08T09:54:33.190300","created_date":"2023-07-23"}