Research on cloud computing service based on trust access control

TL;DR: A detailed survey of the Zero Trust (ZT) security paradigm which has a growing number of advocates in the critical infrastructure risk management space and provides a review of numerous potential options available for successful realization of this paradigm.

TL;DR: This work uses the Fuzzy-AHP method to define the architecture of overall cloud service selection process and calculate the weights of QoS criteria, which are utilised with TOPSIS method to evaluate the final rank of cloud service based on their overall performance.

TL;DR: An integrated data analytic model (IDAM) in a peer-to-peer cloud is designed, integrating RFM-based k-means clustering algorithm, analytical hierarchy processing and fuzzy logic to divide customers into different segments and hence formulate a customised sales strategy.

TL;DR: The authors obtain a common goal to provide a comprehensive review of the existing security and privacy issues in cloud environments to present the relationships among them, the vulnerabilities that may be exploited by attackers, the threat models, as well as existing defense strategies in a cloud scenario.

TL;DR: Using the method of Lagrange multipliers, this paper shall solve this constrained optimization problem analytically and derive a polynomial equation which is then solved to determine the optimal weighting vector.

TL;DR: Significant research and development efforts in both industry and academia aim to improve the cloud's security and privacy.

TL;DR: A policy based authorisation infrastructure that a cloud provider can run as an infrastructure service for its users to protect the privacy of users by allowing the users to set their own privacy policies, and then enforcing them so that no unauthorised access is allowed to their data.