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作 者:Sina Ahmadi Sina Ahmadi(National Coalition of Independent Scholars (NCIS), Seattle, USA)
机构地区:[1]National Coalition of Independent Scholars (NCIS), Seattle, USA
出 处:《Journal of Computer and Communications》2024年第2期26-46,共21页电脑和通信(英文)
摘 要: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.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.
关 键 词:Edge Computing Cloud Networks Artificial Intelligence Machine Learning Cloud Security
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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