He, Z., Zhang, T. and Lee, R.B. (2020) Attacking and Protecting Data Privacy in Edge-Cloud Collaborative Inference Systems. IEEE Internet of Things Journal, 8, 9706-9716.
https://doi.org/10.1109/JIOT.2020.3022358

has been cited by the following article:

• TITLE: Security Implications of Edge Computing in Cloud Networks

  AUTHORS: Sina Ahmadi

  KEYWORDS: Edge Computing, Cloud Networks, Artificial Intelligence, Machine Learning, Cloud Security

  JOURNAL NAME: Journal of Computer and Communications, Vol.12 No.2, February 9, 2024

  ABSTRACT: Security issues in cloud networks and edge computing have become very common. This research focuses on analyzing such issues and developing the best solutions. A detailed literature review has been conducted in this regard. The findings have shown that many challenges are linked to edge computing, such as privacy concerns, security breaches, high costs, low efficiency, etc. Therefore, there is a need to implement proper security measures to overcome these issues. Using emerging trends, like machine learning, encryption, artificial intelligence, real-time monitoring, etc., can help mitigate security issues. They can also develop a secure and safe future in cloud computing. It was concluded that the security implications of edge computing can easily be covered with the help of new technologies and techniques.