{"id":"https://openalex.org/W2810563447","doi":"https://doi.org/10.1109/uic-atc.2017.8397440","title":"On the performance of a deep learning-based anomaly detection system for 5G networks","display_name":"On the performance of a deep learning-based anomaly detection system for 5G networks","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2810563447","doi":"https://doi.org/10.1109/uic-atc.2017.8397440","mag":"2810563447"},"language":"en","primary_location":{"id":"doi:10.1109/uic-atc.2017.8397440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uic-atc.2017.8397440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE SmartWorld, Ubiquitous Intelligence &amp; Computing, Advanced &amp; Trusted Computed, Scalable Computing &amp; Communications, Cloud &amp; Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1491788","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026124565","display_name":"Lorenzo Fern\u00e1ndez Maim\u00f3","orcid":"https://orcid.org/0000-0003-2027-4239"},"institutions":[{"id":"https://openalex.org/I80180929","display_name":"Universidad de Murcia","ror":"https://ror.org/03p3aeb86","country_code":"ES","type":"education","lineage":["https://openalex.org/I80180929"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Lorenzo Fernandez Maimo","raw_affiliation_strings":["Dept. Ingenier\u00eda y Tecnolog\u00eda de Computadores, University of Murcia, Murcia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Ingenier\u00eda y Tecnolog\u00eda de Computadores, University of Murcia, Murcia, Spain","institution_ids":["https://openalex.org/I80180929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057591697","display_name":"F\u00e9lix J. Garc\u00eda Clemente","orcid":"https://orcid.org/0000-0001-6181-5033"},"institutions":[{"id":"https://openalex.org/I80180929","display_name":"Universidad de Murcia","ror":"https://ror.org/03p3aeb86","country_code":"ES","type":"education","lineage":["https://openalex.org/I80180929"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Felix J. Garcia Clemente","raw_affiliation_strings":["Dept. Ingenier\u00eda y Tecnolog\u00eda de Computadores, University of Murcia, 30071 Murcia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Ingenier\u00eda y Tecnolog\u00eda de Computadores, University of Murcia, 30071 Murcia, Spain","institution_ids":["https://openalex.org/I80180929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033414840","display_name":"Manuel Gil P\u00e9rez","orcid":"https://orcid.org/0000-0002-7768-9665"},"institutions":[{"id":"https://openalex.org/I80180929","display_name":"Universidad de Murcia","ror":"https://ror.org/03p3aeb86","country_code":"ES","type":"education","lineage":["https://openalex.org/I80180929"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Manuel Gil Perez","raw_affiliation_strings":["Dept. Ingenier\u00eda y Tecnolog\u00eda de Computadores, University of Murcia, Murcia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Ingenier\u00eda y Tecnolog\u00eda de Computadores, University of Murcia, Murcia, Spain","institution_ids":["https://openalex.org/I80180929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059796926","display_name":"Gregorio Mart\u00ednez P\u00e9rez","orcid":"https://orcid.org/0000-0001-5532-6604"},"institutions":[{"id":"https://openalex.org/I80180929","display_name":"Universidad de Murcia","ror":"https://ror.org/03p3aeb86","country_code":"ES","type":"education","lineage":["https://openalex.org/I80180929"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gregorio Martinez Perez","raw_affiliation_strings":["Dept. Ingenier\u00eda y Tecnolog\u00eda de Computadores, University of Murcia, Murcia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Ingenier\u00eda y Tecnolog\u00eda de Computadores, University of Murcia, Murcia, Spain","institution_ids":["https://openalex.org/I80180929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80180929"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7477570176124573},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7235723733901978},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7211028337478638},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5759639739990234},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.5046640634536743},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.45271173119544983},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4397278428077698},{"id":"https://openalex.org/keywords/cyber-threats","display_name":"Cyber threats","score":0.4294924736022949},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.27496659755706787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23989132046699524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477570176124573},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7235723733901978},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7211028337478638},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5759639739990234},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.5046640634536743},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.45271173119544983},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4397278428077698},{"id":"https://openalex.org/C3018725008","wikidata":"https://www.wikidata.org/wiki/Q4071928","display_name":"Cyber threats","level":2,"score":0.4294924736022949},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27496659755706787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23989132046699524},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/uic-atc.2017.8397440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uic-atc.2017.8397440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE SmartWorld, Ubiquitous Intelligence &amp; Computing, Advanced &amp; Trusted Computed, Scalable Computing &amp; Communications, Cloud &amp; Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:1491788","is_oa":true,"landing_page_url":"https://zenodo.org/record/1491788","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1491788","is_oa":true,"landing_page_url":"https://zenodo.org/record/1491788","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W753012316","https://openalex.org/W1994864447","https://openalex.org/W2016258134","https://openalex.org/W2080697824","https://openalex.org/W2122646361","https://openalex.org/W2126342452","https://openalex.org/W2142889610","https://openalex.org/W2155893237","https://openalex.org/W2186615578","https://openalex.org/W2271840356","https://openalex.org/W2340896621","https://openalex.org/W2342408547","https://openalex.org/W2384495648","https://openalex.org/W2496064548","https://openalex.org/W2498966538","https://openalex.org/W2564186131","https://openalex.org/W2576897537","https://openalex.org/W2591568271","https://openalex.org/W3098576337","https://openalex.org/W6607775107","https://openalex.org/W6622239757","https://openalex.org/W6686509673"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W2390009783","https://openalex.org/W4254602698","https://openalex.org/W2394461323","https://openalex.org/W2349441905","https://openalex.org/W2611989081","https://openalex.org/W2361044160"],"abstract_inverted_index":{"Cyber":[0],"security":[1],"defense":[2],"systems":[3,141],"have":[4],"evolved":[5],"in":[6,57,82,128,142],"the":[7,36,74,98,119],"last":[8],"years":[9],"with":[10,43,70,101],"innovative":[11],"approaches":[12],"and":[13,45,87,111,138],"new":[14,30,44],"Intrusion":[15],"Detection":[16],"Systems":[17],"(IDS)":[18],"capable":[19],"of":[20,76,92],"identifying":[21],"cyber-threats":[22,81],"that":[23,51],"had":[24],"gone":[25],"unnoticed":[26],"to":[27,72,79,109],"date.":[28],"However,":[29],"protection":[31,140],"challenges":[32],"are":[33,60,104],"raised":[34],"by":[35,89],"upcoming":[37],"fifth":[38],"generation":[39],"(5G)":[40],"mobile":[41,84],"technology":[42],"advanced":[46],"features.":[47],"5G":[48,83,120,143],"will":[49,144],"make":[50],"existing":[52],"detection":[53],"procedures":[54],"become":[55],"obsolete":[56],"case":[58],"they":[59],"not":[61],"adapted":[62],"accordingly.":[63],"This":[64],"paper":[65],"proposes":[66],"a":[67],"5G-oriented":[68],"architecture":[69],"which":[71],"conduct":[73],"analysis":[75],"network":[77,115],"flows":[78],"identify":[80],"networks":[85],"efficiently":[86],"quickly,":[88],"making":[90],"use":[91],"deep":[93],"learning":[94],"techniques.":[95],"Experiments":[96],"on":[97],"proposed":[99],"system":[100],"inspection":[102],"capabilities":[103],"also":[105],"included,":[106],"so":[107],"as":[108],"analyze":[110],"determine":[112],"how":[113],"many":[114],"flows,":[116],"gathered":[117],"from":[118],"subscribers'":[121],"User":[122],"Equipments":[123],"(UE),":[124],"we":[125],"can":[126,132],"inspect":[127],"real-time.":[129],"These":[130],"outcomes":[131],"give":[133],"us":[134],"clues":[135],"about":[136],"when":[137],"why":[139],"stop":[145],"detecting":[146],"cyber-attacks":[147],"for":[148],"overload":[149],"reasons.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
