TMACS: A Robust and Verifiable Threshold Multi-Authority Access Control System in Public Cloud Storage PROJECT TITLE :TMACS: A Robust and Verifiable Threshold Multi-Authority Access Control System in Public Cloud StorageABSTRACT:Attribute-based Encryption (ABE) is considered a promising cryptographic conducting tool to ensure information house owners’ direct management over their data in public cloud storage. The earlier ABE schemes involve solely one authority to take care of the entire attribute set, which will bring one-point bottleneck on each security and performance. Subsequently, some multi-authority schemes are proposed, in which multiple authorities separately maintain disjoint attribute subsets. However, the single-purpose bottleneck downside remains unsolved. In this paper, from another perspective, we conduct a threshold multi-authority CP-ABE access management theme for public cloud storage, named TMACS, in that multiple authorities jointly manage the same attribute set. In TMACS, cashing in on ( ) threshold secret sharing, the master key will be shared among multiple authorities, and a legal user will generate his/her secret key by interacting with any authorities. Security and performance analysis results show that TMACS is not solely verifiable secure when less than authorities are compromised, but conjointly sturdy when at least authorities are alive in the system. Furthermore, by efficiently combining the traditional multi-authority scheme with TMACS, we have a tendency to construct a hybrid one, which satisf- es the state of affairs of attributes returning from totally different authorities along with achieving security and system-level robustness. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest High-Temperature Strain Sensing Using Sapphire Fibers With Inscribed First-Order Bragg Gratings Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study