{"id":"https://openalex.org/W2959717179","doi":"https://doi.org/10.1109/ntms.2019.8763842","title":"A Novel Online Incremental Learning Intrusion Prevention System","display_name":"A Novel Online Incremental Learning Intrusion Prevention System","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2959717179","doi":"https://doi.org/10.1109/ntms.2019.8763842","mag":"2959717179"},"language":"en","primary_location":{"id":"doi:10.1109/ntms.2019.8763842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ntms.2019.8763842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2109.09530","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Christos Constantinides","orcid":null},"institutions":[{"id":"https://openalex.org/I59746437","display_name":"Open University of Cyprus","ror":"https://ror.org/033sm2k57","country_code":"CY","type":"education","lineage":["https://openalex.org/I59746437"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"Christos Constantinides","raw_affiliation_strings":["School of Pure and Applied Sciences, Open University of Cyprus, Nicosia, Cyprus"],"affiliations":[{"raw_affiliation_string":"School of Pure and Applied Sciences, Open University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I59746437"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Stavros Shiaeles","orcid":null},"institutions":[{"id":"https://openalex.org/I897542642","display_name":"University of Plymouth","ror":"https://ror.org/008n7pv89","country_code":"GB","type":"education","lineage":["https://openalex.org/I897542642"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stavros Shiaeles","raw_affiliation_strings":["School of Computing, Electronics and Mathematics, University of Plymouth, Plymouth, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, Electronics and Mathematics, University of Plymouth, Plymouth, UK","institution_ids":["https://openalex.org/I897542642"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bogdan Ghita","orcid":null},"institutions":[{"id":"https://openalex.org/I897542642","display_name":"University of Plymouth","ror":"https://ror.org/008n7pv89","country_code":"GB","type":"education","lineage":["https://openalex.org/I897542642"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bogdan Ghita","raw_affiliation_strings":["School of Computing, Electronics and Mathematics, University of Plymouth, Plymouth, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, Electronics and Mathematics, University of Plymouth, Plymouth, UK","institution_ids":["https://openalex.org/I897542642"]}]},{"author_position":"last","author":{"id":null,"display_name":"Nicholas Kolokotronis","orcid":null},"institutions":[{"id":"https://openalex.org/I158716096","display_name":"University of Peloponnese","ror":"https://ror.org/04d4d3c02","country_code":"GR","type":"education","lineage":["https://openalex.org/I158716096"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nicholas Kolokotronis","raw_affiliation_strings":["Department of Informatics and Telecommunications, University of Peloponnese, Tripolis, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics and Telecommunications, University of Peloponnese, Tripolis, Greece","institution_ids":["https://openalex.org/I158716096"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59746437"],"apc_list":null,"apc_paid":null,"fwci":5.1899,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.95889274,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"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":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":0.9977999925613403,"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":0.9958000183105469,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7317000031471252},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6004999876022339},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.529699981212616},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5235000252723694},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.51419997215271},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.490200012922287},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.45339998602867126}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7317000031471252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6682000160217285},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6004999876022339},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.529699981212616},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5235000252723694},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.51419997215271},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.490200012922287},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.45339998602867126},{"id":"https://openalex.org/C27061796","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion prevention system","level":3,"score":0.42719998955726624},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.41370001435279846},{"id":"https://openalex.org/C137524506","wikidata":"https://www.wikidata.org/wiki/Q2247688","display_name":"Anomaly-based intrusion detection system","level":3,"score":0.4122999906539917},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3874000012874603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3553999960422516},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35420000553131104},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C167063184","wikidata":"https://www.wikidata.org/wiki/Q1400839","display_name":"Vulnerability assessment","level":3,"score":0.29589998722076416},{"id":"https://openalex.org/C40071531","wikidata":"https://www.wikidata.org/wiki/Q2513962","display_name":"Industrial control system","level":3,"score":0.26840001344680786},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.26260000467300415}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ntms.2019.8763842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ntms.2019.8763842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2109.09530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.09530","pdf_url":"https://arxiv.org/pdf/2109.09530","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pearl.plymouth.ac.uk:10026.1/17147","is_oa":true,"landing_page_url":"http://hdl.handle.net/10026.1/17147","pdf_url":"http://hdl.handle.net/10026.1/17147","source":{"id":"https://openalex.org/S4306402507","display_name":"PEARL (University of Plymouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I897542642","host_organization_name":"University of Plymouth","host_organization_lineage":["https://openalex.org/I897542642"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2109.09530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.09530","pdf_url":"https://arxiv.org/pdf/2109.09530","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W433644524","https://openalex.org/W1915916318","https://openalex.org/W1978779053","https://openalex.org/W2037515642","https://openalex.org/W2066832805","https://openalex.org/W2099371660","https://openalex.org/W2120250216","https://openalex.org/W2123921497","https://openalex.org/W2131970275","https://openalex.org/W2153635508","https://openalex.org/W2284033649","https://openalex.org/W2322575092","https://openalex.org/W2331761949","https://openalex.org/W2363932104","https://openalex.org/W2734682423","https://openalex.org/W2767313158","https://openalex.org/W2897535293","https://openalex.org/W2901004915","https://openalex.org/W2902039115","https://openalex.org/W6681545543","https://openalex.org/W6802458367","https://openalex.org/W7017318302"],"related_works":["https://openalex.org/W2382471539","https://openalex.org/W2799811901","https://openalex.org/W2373866020","https://openalex.org/W3119704908","https://openalex.org/W2517190875","https://openalex.org/W2000940208","https://openalex.org/W2365498287","https://openalex.org/W3208168723","https://openalex.org/W2392884863","https://openalex.org/W2947384205"],"abstract_inverted_index":{"Attack":[0],"vectors":[1],"are":[2],"continuously":[3],"evolving":[4],"in":[5,94],"order":[6],"to":[7,32,41,67,88],"evade":[8],"Intrusion":[9,50],"Detection":[10],"systems.":[11],"Internet":[12],"of":[13],"Things":[14],"(IoT)":[15],"environments,":[16],"while":[17],"beneficial":[18],"for":[19,121],"the":[20,70,105,109],"IT":[21],"ecosystem,":[22],"suffer":[23],"from":[24],"inherent":[25],"hardware":[26],"limitations,":[27],"which":[28],"restrict":[29],"their":[30,39],"ability":[31],"implement":[33],"comprehensive":[34],"security":[35,75],"measures":[36],"and":[37,85,91,123],"increase":[38],"exposure":[40],"vulnerability":[42],"attacks.":[43],"This":[44],"paper":[45],"proposes":[46],"a":[47,55,62,74],"novel":[48],"Network":[49,59],"Prevention":[51],"System":[52],"that":[53,77],"utilises":[54],"Self-Organizing":[56],"Incremental":[57],"Neural":[58],"along":[60],"with":[61,96,104],"Support":[63],"Vector":[64],"Machine.":[65],"Due":[66],"its":[68],"structure,":[69],"proposed":[71,110],"system":[72],"provides":[73],"solution":[76],"does":[78],"not":[79],"rely":[80],"on":[81,100],"signatures":[82],"or":[83],"rules":[84],"is":[86],"capable":[87],"mitigate":[89],"known":[90],"unknown":[92],"attacks":[93],"real-time":[95],"high":[97],"accuracy.":[98],"Based":[99],"our":[101],"experimental":[102],"results":[103],"NSL":[106],"KDD":[107],"dataset,":[108],"framework":[111],"can":[112],"achieve":[113],"on-line":[114],"updated":[115],"incremental":[116],"learning,":[117],"making":[118],"it":[119],"suitable":[120],"efficient":[122],"scalable":[124],"industrial":[125],"applications.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2019-07-23T00:00:00"}
