Secure edge computing vulnerabilities in smart cities sustainability using petri net and genetic algorithm-based reinforcement learning-Reference-Cited by-同舟云学术

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Secure edge computing vulnerabilities in smart cities sustainability using petri net and genetic algorithm-based reinforcement learning

Published:2023-05 Issue: Volume:18 Page:200216
ISSN:2667-3053
Container-title:Intelligent Systems with Applications
language:en
Short-container-title:Intelligent Systems with Applications

Author:

Ajao Lukman Adewale^ORCID,Apeh Simon Tooswem

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference49 articles.

1. Overview of 5G security challenges and solutions;Ahmad;IEEE Communications Standards Magazine,2018

2. Modeling and implementation of smart home and self-control window using FPGA and Petri Net;Ajao,2020

3. Secure fog computing vulnerability in smart city using machine learning and blockchain technology;Ajao,2023

4. Security challenges in the industry 4.0 era;Alani,2019

5. January). Ad-iot: Anomaly detection of iot cyberattacks in smart city using machine learning;Alrashdi,2019

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1. Comparative Evaluation of Optimization Techniques for Industrial Wireless Sensor Network Hello Flood Attack Mitigation;2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2024-06-14

2. An Effective Intrusion Detection System for Edge Computing Using ConvNeXt and ResNet152V2;International Journal of Computational Intelligence and Applications;2024-04-25

3. Reinforcement learning applications in environmental sustainability: a review;Artificial Intelligence Review;2024-03-12

4. Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated Learning and Split Learning;Big Data and Cognitive Computing;2024-02-22

5. Employing RNN and Petri Nets to Secure Edge Computing Threats in Smart Cities;Journal of Grid Computing;2024-02-22

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