Data Privacy in Cloud Computing, An Implementation by Django, A Python-Based Free and Open-Source Web Framework
Keywords:
Cloud Computing, Cloud Security, Cloud services, Crypto graphical storage, File-block keys, Native management System, Secure private keys, Un-trusted cloudAbstract
A feasible approach for transferring cyber risk is cyber insurance but, the network security may or may not be improved depending on the underlying environment features. A single profit-maximizing insurer (principal) together with client volunteers /insured volunteers was considered in this paper with a specific interest in two distinct cyber security features along with their impact on the contract design problem. Cyber security is interconnected, meaning that an entity's level of security is influenced by others' efforts within the same ecosystem in addition to its investment and effort (i.e. externalities). Secondly, the latest advancements made in internet measurement now permit an exact quantitative analysis of security posture at the form level when combined with machine learning techniques. Hence, the effective utilization of resources can be done possibly thereby reducing the cost of the manufacturers but, the only disadvantage of cloud providers is that the information will be safe and affordable in the cloud. So, the data must be encrypted before being transferred into the cloud. Secure private keys are made available to users of a collision protection information sharing system so they can add or remove customers. Via the certified authorities and safe channels, the new customers will receive the keys from the team managers. Therefore, a revoked customer won't be able to retrieve common data documents even if they are using the cloud. Hence, a revoked user will be prevented from data document retrieval even if they are utilizing the cloud.
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