Transparent Peer Review By Scholar9
Edge Computing's Effects on Security in Cloud Networks
Abstract
Cloud networks and edge computing are becoming more and more fraught with security problems. This study aims to examine these challenges and suggest the most effective solutions. The corpus of recent research has been thoroughly examined. The results draw attention to several edge computing-related issues, including worries about privacy, security flaws, higher expenses, lower productivity, and more. Therefore, in order to address these problems, it is essential to implement effective security measures. Modern technologies like as artificial intelligence, machine learning, encryption, real-time monitoring, etc. can help lower security concerns. They can also contribute to creating a secure and robust cloud computing future. It was determined that new technologies and methods can effectively address the security implications of edge computing.
Hemant Singh Sengar Reviewer
15 Oct 2024 02:04 PM
Approved
Relevance and Originality
The study addresses the increasingly critical security challenges faced by cloud networks and edge computing, making it highly relevant in today’s digital landscape. The focus on security measures related to modern technologies such as artificial intelligence and machine learning adds originality to the research. However, it would benefit from a clearer articulation of how this research differentiates itself from existing literature and whether it introduces novel solutions or perspectives that advance the current understanding of security in these domains.
Methodology
The methodology appears robust, with a thorough examination of recent research conducted to identify security challenges. However, the article lacks specific details on the methods used for analyzing the corpus of research. It would be helpful to include a more explicit description of the data sources, analytical frameworks, or criteria for selecting studies. Providing a structured methodology section would enhance the reader’s understanding of how the findings were derived and the validity of the proposed solutions.
Validity & Reliability
The study effectively highlights significant issues related to edge computing security, indicating a well-researched foundation. However, the article does not provide empirical data or case studies to substantiate its claims. Including quantitative or qualitative evidence would enhance the reliability of the findings and the proposed solutions. Additionally, discussing potential biases or limitations in the research could strengthen the article’s credibility and provide a more balanced view of the security challenges presented.
Clarity and Structure
The article is generally well-structured, presenting its main points in a logical order. The writing style is clear and concise, making it accessible to a broader audience. Nevertheless, some sections could benefit from better organization, particularly when transitioning between different security challenges and proposed solutions. Using headings or subheadings to delineate these sections more clearly would enhance readability and help the audience follow the flow of arguments more effectively.
Result Analysis
The results effectively highlight key issues in edge computing security, such as privacy concerns and productivity challenges. However, the analysis would benefit from a deeper exploration of the implications of these findings. It would be useful to discuss how the proposed solutions could be implemented in real-world scenarios and what impact they may have on the security landscape. Additionally, more detailed recommendations for practitioners could enhance the article's practical relevance, allowing readers to understand how to apply the findings effectively.
IJ Publication Publisher
done sir
Hemant Singh Sengar Reviewer