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Abstract
Edge Intelligence has become increasingly popular and has already made its place to increase the overall system performance by reducing the burden of the cloud and the network. In edge intelligent frameworks, a massive amount of data generated are not provided to the central cloud, and data analysis is carried out at the edge. Edge intelligence IoT environments comprise heterogeneous devices that communicate over the network, making it essential to protect the data and users’ information. Through these edge frameworks, numerous users and devices take part in communication where the exchange of sensitive data occurs. Therefore, security in such frameworks is crucial and a key challenge for reliable communication. This paper performs an analysis of popular AI/ML applications toward edge intelligence focusing on highlighting the critical security and privacy concerns desired in such systems. After a thorough investigation, we show that although several promising edge intelligent frameworks have been developed to address energy and performance issues, they do not consider the security and privacy of the data as the researchers are more focused on the performance predicaments.
Original language | English |
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Journal | Journal of Mobile Multimedia |
Volume | 19 |
Issue number | 1 |
Pages (from-to) | 117-134 |
Number of pages | 18 |
ISSN | 1550-4646 |
DOIs | |
Publication status | Published - 15 Sept 2022 |
Keywords
- IoT
- Wireless devices
- edge intelligence
- privacy
- security
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Dive into the research topics of 'Analysis of Edge Intelligent Frameworks and their Security Issues'. Together they form a unique fingerprint.Projects
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MSCA ITN IoTalentum: Internet of Things - Advance Learning in Networked Training
Skouby, K. E. (PI), Kosta, S. (PI), Waleed, M. (Project Participant) & Ferens Michalek, M. J. (Project Participant)
01/10/2020 → 30/06/2025
Project: Research