Resource Efficient Federated Deep Learning for IoT Security Monitoring

Idris Zakariyya*, Harsha Kalutarage, M. Omar Al-Kadri

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (SciVal)
    Original languageEnglish
    Title of host publicationAttacks and Defenses for the Internet-of-Things - 5th International Workshop, ADIoT 2022, Revised Selected Papers
    EditorsWenjuan Li, Steven Furnell, Weizhi Meng
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages122-142
    Number of pages21
    ISBN (Print)9783031213106
    DOIs
    Publication statusPublished (VoR) - 2022
    Event5th International Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2022, held in conjunction with 27th European Symposium on Research in Computer Security, ESORICS 2022 - Copenhagen, Denmark
    Duration: 30 Sept 202230 Sept 2022

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume13745 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference5th International Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2022, held in conjunction with 27th European Symposium on Research in Computer Security, ESORICS 2022
    Country/TerritoryDenmark
    CityCopenhagen
    Period30/09/2230/09/22

    Keywords

    • Deep Neural Network (DNN)
    • Distributed machine learning
    • Edge devices
    • Federated learning (FL)
    • Internet of Things (IoT)
    • Security monitoring

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