{"id":"https://openalex.org/W2017814827","doi":"https://doi.org/10.1145/2797143.2797145","title":"Anomaly Detection In Secure Cloud Environments Using a Self-Organizing Feature Map (SOFM) Model For Clustering Sets of R-Ordered Vector-Structured Features","display_name":"Anomaly Detection In Secure Cloud Environments Using a Self-Organizing Feature Map (SOFM) Model For Clustering Sets of R-Ordered Vector-Structured Features","publication_year":2015,"publication_date":"2015-09-15","ids":{"openalex":"https://openalex.org/W2017814827","doi":"https://doi.org/10.1145/2797143.2797145","mag":"2017814827"},"language":"en","primary_location":{"id":"doi:10.1145/2797143.2797145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2797143.2797145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS)","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/A5089818536","display_name":"Ioannis M. Stephanakis","orcid":"https://orcid.org/0000-0001-5739-4707"},"institutions":[{"id":"https://openalex.org/I2800885372","display_name":"Hellenic Telecommunications Organization (Greece)","ror":"https://ror.org/031e3n874","country_code":"GR","type":"company","lineage":["https://openalex.org/I2800885372"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis M. Stephanakis","raw_affiliation_strings":["OTE (Hellenic Telecom Organization), 99 Kifissias Avenue, GR-151 24, Athens, Greece, +30 210 6115798"],"affiliations":[{"raw_affiliation_string":"OTE (Hellenic Telecom Organization), 99 Kifissias Avenue, GR-151 24, Athens, Greece, +30 210 6115798","institution_ids":["https://openalex.org/I2800885372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086881985","display_name":"Ioannis P. Chochliouros","orcid":"https://orcid.org/0000-0002-4208-1676"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ioannis P. Chochliouros","raw_affiliation_strings":["Research Programs Section, OTE, Pelika &amp; Spartis Str., GR-151 22 Maroussi, Greece, +30 210-6114651"],"affiliations":[{"raw_affiliation_string":"Research Programs Section, OTE, Pelika &amp; Spartis Str., GR-151 22 Maroussi, Greece, +30 210-6114651","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047883869","display_name":"Evangelos Sfakianakis","orcid":"https://orcid.org/0000-0003-4863-2288"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Evangelos Sfakianakis","raw_affiliation_strings":["Research Programs Section, OTE Pelika &amp; Spartis Str. GR-151 22 Maroussi, Greece, +30 210-6114938"],"affiliations":[{"raw_affiliation_string":"Research Programs Section, OTE Pelika &amp; Spartis Str. GR-151 22 Maroussi, Greece, +30 210-6114938","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017922230","display_name":"Syed Noorulhassan Shirazi","orcid":"https://orcid.org/0000-0002-5404-3706"},"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":"Noorulhassan Shirazi","raw_affiliation_strings":["School of Comp. &amp; Communications, Lancaster University, UK, +44 1524 510380"],"affiliations":[{"raw_affiliation_string":"School of Comp. &amp; Communications, Lancaster University, UK, +44 1524 510380","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089818536"],"corresponding_institution_ids":["https://openalex.org/I2800885372"],"apc_list":null,"apc_paid":null,"fwci":1.3313,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8310795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9976999759674072,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7716790437698364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.721708357334137},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6009497046470642},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5561455488204956},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4690723121166229},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45064812898635864},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4460846483707428},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.417738139629364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35305434465408325},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1657257080078125}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7716790437698364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721708357334137},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6009497046470642},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5561455488204956},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4690723121166229},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45064812898635864},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4460846483707428},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.417738139629364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35305434465408325},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1657257080078125},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2797143.2797145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2797143.2797145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W47128722","https://openalex.org/W151607323","https://openalex.org/W195533127","https://openalex.org/W349770100","https://openalex.org/W1506806321","https://openalex.org/W1566997402","https://openalex.org/W1663973292","https://openalex.org/W1963821364","https://openalex.org/W1964524654","https://openalex.org/W1965573476","https://openalex.org/W1992310476","https://openalex.org/W2007087405","https://openalex.org/W2050082341","https://openalex.org/W2107444638","https://openalex.org/W2131138404","https://openalex.org/W2164210932","https://openalex.org/W2542991588"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4367857133"],"abstract_inverted_index":{"Cloud":[0,10,36,47,61],"computing":[1,48],"delivers":[2],"services":[3,11,32],"over":[4],"virtualized":[5],"networks":[6,37,62,71],"to":[7,96,191],"many":[8],"end-users.":[9],"are":[12,63,79,117,153,166,250],"characterized":[13],"by":[14],"such":[15],"attributes":[16],"as":[17,40,42,81,168,180,182],"on-demand":[18],"self-service,":[19],"broad":[20],"network":[21],"access,":[22],"resource":[23,28],"pooling,":[24],"rapid":[25],"and":[26,30,44,72,141,225],"elastic":[27],"provisioning":[29],"metered":[31],"of":[33,58,84,103,108,111,125,135,139,146,155,158,170,178,221,233,240,248,255],"various":[34],"qualities.":[35],"provide":[38],"data":[39,194],"well":[41,181],"multimedia":[43],"video":[45],"services.":[46],"for":[49,119,201,212,228],"critical":[50],"structure":[51],"IT":[52],"is":[53,129,189,199,210],"a":[54,82,104,222,226],"relative":[55],"new":[56],"area":[57],"potential":[59],"applications.":[60],"classified":[64],"into":[65],"private":[66],"cloud":[67,70,74,127,163],"networks,":[68],"public":[69],"hybrid":[73],"networks.":[75],"Anomaly":[76],"detection":[77,86],"systems":[78,87],"defined":[80,211],"branch":[83],"intrusion":[85],"that":[88,116],"deal":[89],"with":[90,94],"identifying":[91],"anomalous":[92],"events":[93],"respect":[95],"normal":[97,162],"system":[98],"behavior.":[99],"A":[100],"novel":[101],"application":[102],"Self-Organizing-Feature":[105],"Map":[106],"(SOFM)":[107],"reduced/aggregate":[109,136],"sets":[110,138,247],"ordered":[112,137,246],"vector":[113,140,176],"structured":[114,175],"features":[115,249],"used":[118,190,200],"detecting":[120],"anomalies":[121],"in":[122,252],"the":[123,147,171,196,219,231,234,242,253],"context":[124],"secure":[126],"environments":[128],"herein":[130],"proposed.":[131],"Multivalue":[132],"inputs":[133],"consist":[134],"binary":[142,179,203],"features.":[143],"The":[144,185,205,215],"nodes":[145],"SOFM":[148],"-":[149,152],"after":[150],"training":[151],"indicative":[154],"local":[156],"distributions":[157],"feature":[159],"measurements":[160],"during":[161],"operation.":[164],"Anomalies":[165],"detected":[167],"outliers":[169],"trained":[172],"SOFM.":[173],"Each":[174],"consists":[177],"histogram":[183,193],"data.":[184,204],"aggregated":[186],"Canberra":[187],"distance":[188,198,216,243],"order":[192],"whereas":[195],"Jaccard":[197],"multivalue":[202],"so-called":[206],"Cross-Order":[207,235],"Distance":[208,236],"Matrix":[209],"both":[213],"cases.":[214],"depends":[217],"upon":[218,230],"selection":[220],"similarity/distance":[223],"measure":[224],"method":[227],"operating":[229],"elements":[232],"Matrix.":[237],"Several":[238],"methods":[239],"estimating":[241],"between":[244],"two":[245],"investigated":[251],"course":[254],"this":[256],"paper.":[257]},"counts_by_year":[{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
