This research paper explores the use of Chat GPT in solving programming bugs. The paper examines the characteristics of Chat GPT and how they can be leveraged to provide debugging assistance, bug prediction, and bug explanation to help solve programming problems. The paper also explores the limitations of Chat GPT in solving programming bugs and the importance of using other debugging tools and techniques to validate its predictions and explanations. The paper concludes by highlighting the potential of Chat GPT as one part of a comprehensive debugging toolkit, and the benefits of combining its strengths with the strengths of other debugging tools to identify and fix bugs more effectively.
Cloud computing has emerged as a new technology model for providing customized, high quality and reliable services for clients over the Internet. These clients can rent the services as long as they need rather than owning and maintaining large expensive IT infrastructure. One of the most used cloud services is the cloud storage as it provides storage on demand service. Nevertheless, due to the structure of cloud services which may not fully be managed by the cloud clients, the privacy and security of cloud storage become a significant challenge. Most of the previous works on the cloud security trying to solve the security challenges with data encryption techniques. However, these solutions do not protect data from being exposed or read by the server administrator or owner. In this paper, we have proposed a hybrid novel solution referred to as Cloud Storage Privacy (CSP) paradigm to enhance the privacy policies for cloud storage. This framework solution combines three of the superior cryptographic techniques: RSA, AES and Block-Chain. The solution not only secures the asset in the cloud but also protects the asset from unauthorized server access and improving user password protection. We have compared the proposed solution with the best based on our knowledge cloud storage services which are Google Drive and Dropbox in terms of performance and security. The result shows that the proposed solution outperforms existing services.
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