Blockchain Integration with Machine Learning for Securing Fog Computing Vulnerability in Smart City Sustainability-Reference-Cited by-同舟云学术

Blockchain Integration with Machine Learning for Securing Fog Computing Vulnerability in Smart City Sustainability

Published:2023-01-23 Issue: Volume: Page:
ISSN:
Container-title:2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)
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Author:

Ajao Lukman Adewale¹,Apeh Simon Tooswem¹

Affiliation:

1. University of Benin,Department of Computer Engineering,Benin City,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10084917/10084937/10085192.pdf?arnumber=10085192

Reference23 articles.

1. Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends

2. Secure edge computing vulnerabilities in smart cities sustainability using petri net and genetic algorithm-based reinforcement learning;ajao;SSRN Preprint,0

3. Towards a secure internet of things: a comprehensive study of second-line defense mechanisms;dutta;IEEE Access,2020

4. Anomalies Detection in Fog Computing Architectures Using Deep Learning

5. An overview of security and privacy in smart cities' IoT communications

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