{"id":"https://openalex.org/W4410950143","doi":"https://doi.org/10.1109/mcom.003.2400648","title":"On the Applicability of Network Digital Twins in Generating Synthetic Data for Heavy Hitter Discrimination","display_name":"On the Applicability of Network Digital Twins in Generating Synthetic Data for Heavy Hitter Discrimination","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410950143","doi":"https://doi.org/10.1109/mcom.003.2400648"},"language":"en","primary_location":{"id":"doi:10.1109/mcom.003.2400648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcom.003.2400648","pdf_url":null,"source":{"id":"https://openalex.org/S158797327","display_name":"IEEE Communications Magazine","issn_l":"0163-6804","issn":["0163-6804","1558-1896"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Magazine","raw_type":"journal-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/A5052518295","display_name":"Amit Karamchandani","orcid":"https://orcid.org/0000-0002-0311-6610"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amit Karamchandani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Javier Nunez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javier Nunez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117798923","display_name":"Luis de-la-Cal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luis de-la-Cal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yenny Moreno","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yenny Moreno","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017087550","display_name":"Alberto Moz\u00f3","orcid":"https://orcid.org/0000-0001-9743-8604"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alberto Mozo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103108041","display_name":"Antonio Pastor","orcid":"https://orcid.org/0000-0003-2849-9782"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio Pastor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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":0.05179307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9361000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9361000061035156,"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":0.8760757446289062},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.35201317071914673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8760757446289062},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.35201317071914673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mcom.003.2400648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcom.003.2400648","pdf_url":null,"source":{"id":"https://openalex.org/S158797327","display_name":"IEEE Communications Magazine","issn_l":"0163-6804","issn":["0163-6804","1558-1896"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Differentiating":[0],"between":[1,42],"benign":[2,133,155],"and":[3,21,45,77,110,114,130,134,156,184,189],"malicious":[4,46,135,157],"heavy":[5],"hitter":[6],"(HH)":[7],"flows":[8,137],"is":[9,28,62,71,88,124],"a":[10,58],"significant":[11,19],"challenge":[12],"for":[13,30,99,126,172],"telecommunication":[14],"infrastructure,":[15],"as":[16,90],"they":[17],"cause":[18],"congestion":[20],"degraded":[22],"quality":[23],"of":[24,132,163,175],"service.":[25],"Accurate":[26],"identification":[27],"essential":[29],"effective":[31],"mitigation,":[32],"but":[33],"current":[34],"methods":[35],"lack":[36],"the":[37,145,161,164,173,187],"granularity":[38],"needed":[39],"to":[40,74,94,103,177],"distinguish":[41],"legitimate":[43],"activity":[44],"distributed":[47],"denial-of-service":[48],"(DDoS)":[49],"traffic.":[50,141],"To":[51,80,117],"address":[52,81],"this":[53,119,150],"using":[54],"machine":[55],"learning":[56],"(ML),":[57],"large":[59],"labeled":[60,97,170],"dataset":[61,188],"required,":[63],"yet":[64],"obtaining":[65],"such":[66],"datasets":[67],"from":[68],"live":[69],"networks":[70],"infeasible":[72],"due":[73],"privacy":[75],"policies":[76],"operational":[78],"constraints.":[79],"these":[82],"challenges,":[83],"network":[84,105,112,179],"digital":[85],"twin":[86],"(NDT)":[87],"proposed":[89,165],"an":[91],"innovative":[92],"approach":[93,166],"generate":[95],"synthetic":[96],"data":[98,128,152,171],"ML":[100,146,176],"applications":[101],"tailored":[102],"complex":[104,178],"problems":[106],"by":[107],"emulating":[108],"diverse":[109],"realistic":[111,169],"environments":[113],"traffic":[115],"conditions.":[116],"demonstrate":[118],"approach,":[120],"Telefonica's":[121],"Mouseworld":[122],"NDT":[123],"extended":[125],"automated":[127],"collection":[129],"labeling":[131],"HH":[136,158],"along":[138],"with":[139],"normal":[140],"Results":[142],"show":[143],"that":[144],"model":[147],"trained":[148],"on":[149],"NDT-generated":[151],"accurately":[153],"detects":[154],"flows,":[159],"validating":[160],"effectiveness":[162],"in":[167],"creating":[168],"application":[174],"management":[180],"solutions.":[181],"For":[182],"reproducibility":[183],"further":[185],"research,":[186],"code":[190],"are":[191],"openly":[192],"available.":[193]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
