том 16 издание 2 страницы 1485-1504

AI-enabled Secure Microservices in Edge Computing: Opportunities and Challenges

Тип публикацииJournal Article
Дата публикации2023-03-01
scimago Q1
wos Q1
БС1
SJR1.441
CiteScore10.8
Impact factor5.8
ISSN19391374, 23720204
Computer Science Applications
Hardware and Architecture
Computer Networks and Communications
Information Systems and Management
Краткое описание
The paradigm of edge computing has formed an innovative scope within the domain of IoT through expanding the services of the cloud to the network edge to design distributed architectures and securely enhance decision-making applications. Due to the heterogeneous of edge Computing, edge applications are required to be developed as a set of lightweight and interdependent modules. As this concept aligns with the objectives of microservice architecture, effective implementation of microservices-based edge applications within IoT networks has the prospective of fully leveraging edge nodes capabilities. Deploying microservices at IoT edge faces plenty of challenges associated with security and privacy. Advances in AI, and the easy access to resources with powerful computing providing opportunities for deriving precise models and developing different intelligent applications at the edge of network. In this study, an extensive survey is presented for securing edge computing-based AI Microservices to elucidate the challenges of IoT management and enable secure decision-making systems at the edge. We present recent research studies on edge AI and microservices orchestration and highlight key requirements as well as challenges of securing Microservices at IoT edge. We also propose a Microservices-based edge framework that provides secure edge AI algorithms as Microservices utilizing the containerization technology.
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IEEE Transactions on Services Computing
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ГОСТ |
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Al-Doghman F. et al. AI-enabled Secure Microservices in Edge Computing: Opportunities and Challenges // IEEE Transactions on Services Computing. 2023. Vol. 16. No. 2. pp. 1485-1504.
ГОСТ со всеми авторами (до 50) Скопировать
Al-Doghman F., Moustafa N., Khalil M. I., Sohrabi N., Tari Z., ZOMAYA A. Y. AI-enabled Secure Microservices in Edge Computing: Opportunities and Challenges // IEEE Transactions on Services Computing. 2023. Vol. 16. No. 2. pp. 1485-1504.
RIS |
Цитировать
TY - JOUR
DO - 10.1109/tsc.2022.3155447
UR - https://doi.org/10.1109/tsc.2022.3155447
TI - AI-enabled Secure Microservices in Edge Computing: Opportunities and Challenges
T2 - IEEE Transactions on Services Computing
AU - Al-Doghman, Firas
AU - Moustafa, Nour
AU - Khalil, Md Ibrahim
AU - Sohrabi, Nasrin
AU - Tari, Zahir
AU - ZOMAYA, ALBERT Y.
PY - 2023
DA - 2023/03/01
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 1485-1504
IS - 2
VL - 16
SN - 1939-1374
SN - 2372-0204
ER -
BibTex |
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BibTex (до 50 авторов) Скопировать
@article{2023_Al-Doghman,
author = {Firas Al-Doghman and Nour Moustafa and Md Ibrahim Khalil and Nasrin Sohrabi and Zahir Tari and ALBERT Y. ZOMAYA},
title = {AI-enabled Secure Microservices in Edge Computing: Opportunities and Challenges},
journal = {IEEE Transactions on Services Computing},
year = {2023},
volume = {16},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {mar},
url = {https://doi.org/10.1109/tsc.2022.3155447},
number = {2},
pages = {1485--1504},
doi = {10.1109/tsc.2022.3155447}
}
MLA
Цитировать
Al-Doghman, Firas, et al. “AI-enabled Secure Microservices in Edge Computing: Opportunities and Challenges.” IEEE Transactions on Services Computing, vol. 16, no. 2, Mar. 2023, pp. 1485-1504. https://doi.org/10.1109/tsc.2022.3155447.