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Edge enhanced deep learning system for IoT edge device security analytics

  • Published:2021-12-07 Issue: Volume: Page:
  • ISSN:1532-0626
  • Container-title:Concurrency and Computation: Practice and Experience
  • language:en
  • Short-container-title:Concurrency Computat Pract Exper

Author:

Mukhtar Naila1ORCID,Mehrabi Ali2ORCID,Kong Yinan1,Anjum Ashiq3

Affiliation:

1. School of Engineering Macquarie University Macquarie Park New South Wales Australia

2. International Centre for Neuromorphic Systems The MARCS Institute, Western Sydney University Milperra New South Wales Australia

3. Department of Informatics University of Leicester Leicester UK

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Security Challenges and Solutions in the Development of a Website for Administering a Virtual University;Lecture Notes in Networks and Systems;2024

2. Enhancement of IoT device security using an Improved Elliptic Curve Cryptography algorithm and malware detection utilizing deep LSTM;High-Confidence Computing;2023-06

3. Network Security Analytics on the Cloud: Public vs. Private Case;2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2023-01-19

4. Edge intelligence‐enabled cyber‐physical systems;Concurrency and Computation: Practice and Experience;2022-11-16
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