Matches in SemOpenAlex for { <https://semopenalex.org/work/W3169264218> ?p ?o ?g. }
- W3169264218 abstract "Federated learning can be a promising solution for enabling IoT cybersecurity (i.e., anomaly detection in the IoT environment) while preserving data privacy and mitigating the high communication/storage overhead (e.g., high-frequency data from time-series sensors) of centralized over-the-cloud approaches. In this paper, to further push forward this direction with a comprehensive study in both algorithm and system design, we build FedIoT platform that contains a synthesized dataset using N-BaIoT, FedDetect algorithm, and a system design for IoT devices. Furthermore, the proposed FedDetect learning framework improves the performance by utilizing an adaptive optimizer (e.g., Adam) and a cross-round learning rate scheduler. In a network of realistic IoT devices (Raspberry PI), we evaluate FedIoT platform and FedDetect algorithm in both model and system performance. Our results demonstrate the efficacy of federated learning in detecting a large range of attack types. The system efficiency analysis indicates that both end-to-end training time and memory cost are affordable and promising for resource-constrained IoT devices. The source code is publicly available." @default.
- W3169264218 created "2021-06-22" @default.
- W3169264218 creator A5003518978 @default.
- W3169264218 creator A5024863872 @default.
- W3169264218 creator A5032424732 @default.
- W3169264218 creator A5034183260 @default.
- W3169264218 creator A5065363055 @default.
- W3169264218 creator A5086653319 @default.
- W3169264218 date "2021-06-15" @default.
- W3169264218 modified "2023-09-23" @default.
- W3169264218 title "Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection." @default.
- W3169264218 cites W1522301498 @default.
- W3169264218 cites W2027281287 @default.
- W3169264218 cites W2283463896 @default.
- W3169264218 cites W2541884796 @default.
- W3169264218 cites W2586432806 @default.
- W3169264218 cites W2618494520 @default.
- W3169264218 cites W2766736793 @default.
- W3169264218 cites W2792672216 @default.
- W3169264218 cites W2889676205 @default.
- W3169264218 cites W2900319533 @default.
- W3169264218 cites W2902113386 @default.
- W3169264218 cites W2912213068 @default.
- W3169264218 cites W2914328083 @default.
- W3169264218 cites W2950847865 @default.
- W3169264218 cites W2963803379 @default.
- W3169264218 cites W2970971581 @default.
- W3169264218 cites W2980046802 @default.
- W3169264218 cites W2982426954 @default.
- W3169264218 cites W2995022099 @default.
- W3169264218 cites W3006017224 @default.
- W3169264218 cites W3007345209 @default.
- W3169264218 cites W3007780034 @default.
- W3169264218 cites W3008187686 @default.
- W3169264218 cites W3013310637 @default.
- W3169264218 cites W3014367186 @default.
- W3169264218 cites W3014946465 @default.
- W3169264218 cites W3017371741 @default.
- W3169264218 cites W3035668299 @default.
- W3169264218 cites W3041107652 @default.
- W3169264218 cites W3044211235 @default.
- W3169264218 cites W3046183292 @default.
- W3169264218 cites W3090223552 @default.
- W3169264218 cites W3094163844 @default.
- W3169264218 cites W3105324058 @default.
- W3169264218 cites W3107632872 @default.
- W3169264218 cites W3111415751 @default.
- W3169264218 cites W3111919937 @default.
- W3169264218 cites W3122864121 @default.
- W3169264218 cites W3130916947 @default.
- W3169264218 cites W3154553160 @default.
- W3169264218 cites W3154667344 @default.
- W3169264218 cites W3168459274 @default.
- W3169264218 cites W3168892917 @default.
- W3169264218 cites W3181552337 @default.
- W3169264218 hasPublicationYear "2021" @default.
- W3169264218 type Work @default.
- W3169264218 sameAs 3169264218 @default.
- W3169264218 citedByCount "0" @default.
- W3169264218 crossrefType "posted-content" @default.
- W3169264218 hasAuthorship W3169264218A5003518978 @default.
- W3169264218 hasAuthorship W3169264218A5024863872 @default.
- W3169264218 hasAuthorship W3169264218A5032424732 @default.
- W3169264218 hasAuthorship W3169264218A5034183260 @default.
- W3169264218 hasAuthorship W3169264218A5065363055 @default.
- W3169264218 hasAuthorship W3169264218A5086653319 @default.
- W3169264218 hasConcept C111919701 @default.
- W3169264218 hasConcept C120314980 @default.
- W3169264218 hasConcept C149635348 @default.
- W3169264218 hasConcept C154945302 @default.
- W3169264218 hasConcept C177264268 @default.
- W3169264218 hasConcept C199360897 @default.
- W3169264218 hasConcept C2776760102 @default.
- W3169264218 hasConcept C2779960059 @default.
- W3169264218 hasConcept C41008148 @default.
- W3169264218 hasConcept C739882 @default.
- W3169264218 hasConcept C79974875 @default.
- W3169264218 hasConcept C81860439 @default.
- W3169264218 hasConceptScore W3169264218C111919701 @default.
- W3169264218 hasConceptScore W3169264218C120314980 @default.
- W3169264218 hasConceptScore W3169264218C149635348 @default.
- W3169264218 hasConceptScore W3169264218C154945302 @default.
- W3169264218 hasConceptScore W3169264218C177264268 @default.
- W3169264218 hasConceptScore W3169264218C199360897 @default.
- W3169264218 hasConceptScore W3169264218C2776760102 @default.
- W3169264218 hasConceptScore W3169264218C2779960059 @default.
- W3169264218 hasConceptScore W3169264218C41008148 @default.
- W3169264218 hasConceptScore W3169264218C739882 @default.
- W3169264218 hasConceptScore W3169264218C79974875 @default.
- W3169264218 hasConceptScore W3169264218C81860439 @default.
- W3169264218 hasLocation W31692642181 @default.
- W3169264218 hasOpenAccess W3169264218 @default.
- W3169264218 hasPrimaryLocation W31692642181 @default.
- W3169264218 hasRelatedWork W2485785479 @default.
- W3169264218 hasRelatedWork W2809075652 @default.
- W3169264218 hasRelatedWork W2921560693 @default.
- W3169264218 hasRelatedWork W3037337740 @default.
- W3169264218 hasRelatedWork W3044626808 @default.
- W3169264218 hasRelatedWork W3089796360 @default.
- W3169264218 hasRelatedWork W3095540342 @default.