{"id":"https://openalex.org/W2896648602","doi":"https://doi.org/10.1109/fuzz-ieee.2018.8491507","title":"Automatic Detection of Computer Network Traffic Anomalies based on Eccentricity Analysis","display_name":"Automatic Detection of Computer Network Traffic Anomalies based on Eccentricity Analysis","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896648602","doi":"https://doi.org/10.1109/fuzz-ieee.2018.8491507","mag":"2896648602"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2018.8491507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2018.8491507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.lancs.ac.uk/id/eprint/134207/1/WCCI_verReview1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076377406","display_name":"Rodrigo Siqueira Martins","orcid":"https://orcid.org/0000-0002-9996-6600"},"institutions":[{"id":"https://openalex.org/I3020002803","display_name":"Instituto Federal do Rio Grande do Norte","ror":"https://ror.org/04je48v27","country_code":"BR","type":"education","lineage":["https://openalex.org/I3020002803"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Rodrigo Siqueira Martins","raw_affiliation_strings":["Campus Parnamirim, Federal Institute of Rio Grande do Norte, Parnamirim, Brazil"],"affiliations":[{"raw_affiliation_string":"Campus Parnamirim, Federal Institute of Rio Grande do Norte, Parnamirim, Brazil","institution_ids":["https://openalex.org/I3020002803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039480864","display_name":"Plamen Angelov","orcid":"https://orcid.org/0000-0002-5770-934X"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Plamen Angelov","raw_affiliation_strings":["Lancaster University, Lancaster, Lancashire, GB"],"affiliations":[{"raw_affiliation_string":"Lancaster University, Lancaster, Lancashire, GB","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043160730","display_name":"Bruno Sielly Jales Costa","orcid":"https://orcid.org/0000-0002-3039-4632"},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]},{"id":"https://openalex.org/I3020002803","display_name":"Instituto Federal do Rio Grande do Norte","ror":"https://ror.org/04je48v27","country_code":"BR","type":"education","lineage":["https://openalex.org/I3020002803"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Bruno Sielly Jales Costa","raw_affiliation_strings":["Campus Natal - Zona Norte, Federal Institute of Rio Grande do Norte, Natal, Brazil","Research & Innovation Center, Ford Motor Company, Palo Alto, USA"],"affiliations":[{"raw_affiliation_string":"Campus Natal - Zona Norte, Federal Institute of Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I3020002803"]},{"raw_affiliation_string":"Research & Innovation Center, Ford Motor Company, Palo Alto, USA","institution_ids":["https://openalex.org/I1292974536"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076377406"],"corresponding_institution_ids":["https://openalex.org/I3020002803"],"apc_list":null,"apc_paid":null,"fwci":1.3679,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83806393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"10","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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":0.9986000061035156,"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":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8122067451477051},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6182529926300049},{"id":"https://openalex.org/keywords/byte","display_name":"Byte","score":0.6073668599128723},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5708335041999817},{"id":"https://openalex.org/keywords/traffic-analysis","display_name":"Traffic analysis","score":0.5683797597885132},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5384355187416077},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5272402167320251},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.4947051703929901},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.45999443531036377},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42881470918655396},{"id":"https://openalex.org/keywords/port","display_name":"Port (circuit theory)","score":0.428425133228302},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24561578035354614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21972396969795227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8122067451477051},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6182529926300049},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.6073668599128723},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5708335041999817},{"id":"https://openalex.org/C2781317605","wikidata":"https://www.wikidata.org/wiki/Q7832483","display_name":"Traffic analysis","level":2,"score":0.5683797597885132},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5384355187416077},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5272402167320251},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.4947051703929901},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.45999443531036377},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42881470918655396},{"id":"https://openalex.org/C32802771","wikidata":"https://www.wikidata.org/wiki/Q2443617","display_name":"Port (circuit theory)","level":2,"score":0.428425133228302},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24561578035354614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21972396969795227},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2018.8491507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2018.8491507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.lancs.ac.uk:134207","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.lancs.ac.uk/id/eprint/134207/1/WCCI_verReview1.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"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":"PeerReviewed"}],"best_oa_location":{"id":"pmh:oai:eprints.lancs.ac.uk:134207","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.lancs.ac.uk/id/eprint/134207/1/WCCI_verReview1.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"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":"PeerReviewed"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2896648602.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W433644524","https://openalex.org/W1654125355","https://openalex.org/W1980418810","https://openalex.org/W2017814827","https://openalex.org/W2018189414","https://openalex.org/W2035883480","https://openalex.org/W2040333627","https://openalex.org/W2065202763","https://openalex.org/W2074661553","https://openalex.org/W2095445014","https://openalex.org/W2164210932","https://openalex.org/W2278186031","https://openalex.org/W2296509296","https://openalex.org/W2465549242","https://openalex.org/W2540438180","https://openalex.org/W2570296101","https://openalex.org/W2754458851","https://openalex.org/W6719447135","https://openalex.org/W6744068276"],"related_works":["https://openalex.org/W4245395944","https://openalex.org/W2143551613","https://openalex.org/W1979740464","https://openalex.org/W2138823233","https://openalex.org/W2143345456","https://openalex.org/W2023236823","https://openalex.org/W1789991335","https://openalex.org/W1997272817","https://openalex.org/W2364005506","https://openalex.org/W2092384028"],"abstract_inverted_index":{"In":[0,107,192],"this":[1,32,108,266],"paper,":[2],"we":[3,110],"propose":[4],"an":[5,240],"approach":[6,239],"to":[7,95,133,160,174],"automatic":[8],"detection":[9,179],"of":[10,49,66,88,143,149,155,185],"attacks":[11,215,245,267],"on":[12,197,246],"computer":[13,71],"networks":[14],"using":[15,74],"data":[16,41,130,158,165],"that":[17,82,102,139,187,216,230,256],"combine":[18],"the":[19,35,47,53,67,80,83,114,127,134,141,156,162,183,194,222,247,261],"traffic":[20,198,224,229,263,276],"generated":[21],"with":[22,52,104,269],"\u2019live\u2019":[23],"intra-cloud":[24],"virtual-machine":[25],"(VM)":[26],"migration.":[27],"The":[28,170],"method":[29],"used":[30,55,136,203],"in":[31,70,131,204,214],"work":[33],"is":[34,79,86,188,231],"recently":[36],"introduced":[37],"typicality":[38],"and":[39,122,181,201,252,264],"eccentricity":[40],"analytics":[42],"(TEDA)":[43],"framework.":[44],"We":[45,236],"compare":[46],"results":[48,213],"applying":[50],"TEDA":[51],"traditionally":[54,135],"methods":[56,78,101],"such":[57,61],"as":[58,62,112],"statistical":[59,75],"analysis,":[60],"k-means":[63],"clustering.":[64],"One":[65],"biggest":[68],"challenges":[69],"network":[72,128,248,253],"analysis":[73],"or":[76,147,225],"numerical":[77],"fact":[81],"protocols":[84],"information":[85,186],"composed":[87],"integer/string":[89],"values":[90,138],"and,":[91],"thus,":[92],"not":[93,210],"easy":[94],"handle":[96],"by":[97,233],"traditional":[98],"pattern":[99],"recognition":[100],"deal":[103],"real":[105,137,167,205],"values.":[106],"study":[109],"consider":[111],"features":[113],"tuple":[115],"{IP":[116],"source,":[117],"IP":[118,157],"destination,":[119],"Port":[120,123],"source":[121],"destination}":[124],"extracted":[125],"from":[126],"flow":[129,219,259],"addition":[132],"represent":[140],"number":[142,184],"packets":[144],"per":[145,151],"time":[146,206],"quantity":[148],"bytes":[150],"time.":[152],"Using":[153],"entropy":[154],"helps":[159],"convert":[161],"integer":[163],"raw":[164],"into":[166],"valued":[168],"signatures.":[169],"proposed":[171],"solution":[172],"permit":[173,257],"build":[175],"a":[176,218,227,241,274],"real-time":[177],"anomaly":[178],"system":[180],"reduce":[182],"necessary":[189],"for":[190],"evaluation.":[191],"general,":[193],"systems":[195],"based":[196],"are":[199,202],"fast":[200],"but":[207],"they":[208],"do":[209],"produce":[211,217],"good":[212],"hidden":[220,258],"within":[221,226,260],"background":[223],"high":[228],"produced":[232],"other":[234],"application.":[235],"validate":[237],"our":[238],"dataset":[242],"which":[243,272],"includes":[244],"port":[249],"scan":[250,254],"(NPS)":[251],"(NS)":[255],"normal":[262],"see":[265],"together":[268],"live":[270],"migration":[271],"produces":[273],"higher":[275],"flow.":[277]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}