{"id":"https://openalex.org/W4411949980","doi":"https://doi.org/10.1109/iwcmc65282.2025.11059534","title":"Context-Aware Client Selection and Security Protocol Identification in Federated Learning for Heterogeneous IoT Networks","display_name":"Context-Aware Client Selection and Security Protocol Identification in Federated Learning for Heterogeneous IoT Networks","publication_year":2025,"publication_date":"2025-05-12","ids":{"openalex":"https://openalex.org/W4411949980","doi":"https://doi.org/10.1109/iwcmc65282.2025.11059534"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc65282.2025.11059534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc65282.2025.11059534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Lea Mansour","orcid":null},"institutions":[{"id":"https://openalex.org/I56306041","display_name":"Lebanese American University","ror":"https://ror.org/00hqkan37","country_code":"LB","type":"education","lineage":["https://openalex.org/I56306041"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Lea Mansour","raw_affiliation_strings":["Lebanese American University,Department of Computer Science and Mathematics,Beirut,Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lebanese American University,Department of Computer Science and Mathematics,Beirut,Lebanon","institution_ids":["https://openalex.org/I56306041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069942718","display_name":"Nadine Abbas","orcid":"https://orcid.org/0000-0003-3028-326X"},"institutions":[{"id":"https://openalex.org/I56306041","display_name":"Lebanese American University","ror":"https://ror.org/00hqkan37","country_code":"LB","type":"education","lineage":["https://openalex.org/I56306041"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Nadine Abbas","raw_affiliation_strings":["Lebanese American University,Department of Computer Science and Mathematics,Beirut,Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lebanese American University,Department of Computer Science and Mathematics,Beirut,Lebanon","institution_ids":["https://openalex.org/I56306041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I56306041"],"apc_list":null,"apc_paid":null,"fwci":3.346,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91892703,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"574","last_page":"579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9787999987602234,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9787999987602234,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9585999846458435,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9409000277519226,"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":0.8053062558174133},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.631171703338623},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5958524942398071},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.583344042301178},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5724728107452393},{"id":"https://openalex.org/keywords/cryptographic-protocol","display_name":"Cryptographic protocol","score":0.5136144161224365},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.45720794796943665},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.40312689542770386},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.39153817296028137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1806456744670868},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.14744967222213745}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8053062558174133},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.631171703338623},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5958524942398071},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.583344042301178},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5724728107452393},{"id":"https://openalex.org/C33884865","wikidata":"https://www.wikidata.org/wiki/Q1254335","display_name":"Cryptographic protocol","level":3,"score":0.5136144161224365},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.45720794796943665},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.40312689542770386},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.39153817296028137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1806456744670868},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.14744967222213745},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc65282.2025.11059534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc65282.2025.11059534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2612854510","https://openalex.org/W2907829188","https://openalex.org/W3092144916","https://openalex.org/W3121047872","https://openalex.org/W3129098850","https://openalex.org/W3185305249","https://openalex.org/W3198897329","https://openalex.org/W4210923679","https://openalex.org/W4307018394","https://openalex.org/W4324278404","https://openalex.org/W4360605324","https://openalex.org/W4366151855","https://openalex.org/W4367598358","https://openalex.org/W4389041897","https://openalex.org/W4389543366","https://openalex.org/W4392980539","https://openalex.org/W4396886776","https://openalex.org/W4398226083","https://openalex.org/W4401509368","https://openalex.org/W4402753344","https://openalex.org/W4403407608","https://openalex.org/W6684993983","https://openalex.org/W6745963061","https://openalex.org/W6781920483","https://openalex.org/W6800649458","https://openalex.org/W6870129322"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W4410295802","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W2159180878","https://openalex.org/W2282990539"],"abstract_inverted_index":{"Disaster":[0],"management":[1],"plays":[2],"a":[3,94],"pivotal":[4],"role":[5],"in":[6,81,101,161,176],"mitigating":[7],"risks":[8],"and":[9,29,53,73,86,108,119,129,146,170,173],"ensuring":[10],"effective":[11],"response":[12],"to":[13,21,46,68],"crises.":[14],"Integrating":[15],"Federated":[16],"Learning":[17],"(FL)":[18],"becomes":[19],"essential":[20],"enable":[22],"decentralized":[23],"learning":[24],"while":[25,166],"preserving":[26],"data":[27,54,82,144,156],"privacy":[28],"protecting":[30],"sensitive":[31],"information":[32],"during":[33],"real-time":[34],"decision-making":[35],"crisis":[36],"scenarios.":[37],"While":[38],"FL":[39,63,100],"offers":[40],"significant":[41],"advantages,":[42],"it":[43],"is":[44],"susceptible":[45],"various":[47],"security":[48,59,96,116,175],"threats,":[49],"such":[50,137],"as":[51,138],"poisoning":[52],"inference":[55],"attacks.":[56],"Therefore,":[57],"strong":[58],"protocols":[60],"along":[61],"with":[62],"client":[64],"selection":[65],"are":[66,151],"needed":[67],"ensure":[69],"efficient":[70],"model":[71],"training":[72,125],"high":[74],"system":[75],"reliability,":[76],"particularly":[77],"since":[78],"clients":[79,123],"vary":[80],"quality,":[83,145],"computational":[84,140,168],"power,":[85],"network":[87],"stability.":[88],"In":[89],"this":[90],"paper,":[91],"we":[92],"propose":[93],"context-aware":[95],"(CAS)":[97],"framework":[98,112],"for":[99,105,124],"heterogeneous":[102],"IoT":[103,178],"settings":[104],"disasters":[106],"identification":[107],"classification.":[109],"The":[110],"proposed":[111],"dynamically":[113],"adapts":[114],"the":[115,121,131,163],"protocol":[117],"chosen":[118],"selects":[120],"best":[122],"by":[126],"continuously":[127],"monitoring":[128],"evaluating":[130],"system\u2019s":[132],"context,":[133],"which":[134],"includes":[135],"factors":[136],"device":[139],"ability,":[141],"energy":[142,171],"level,":[143],"communication":[147],"channel":[148],"reliability.":[149],"Simulations":[150],"then":[152],"conducted":[153],"on":[154],"image":[155],"demonstrating":[157],"our":[158],"framework\u2019s":[159],"effectiveness":[160],"enhancing":[162],"overall":[164],"accuracy":[165],"reducing":[167],"overhead":[169],"consumption":[172],"maintaining":[174],"dynamic":[177],"environments.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
