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Home / programming language / Online Java Projects / PHE: An Efficient Traitor Tracing and Revocation for Encrypted File Syncing-and-Sharing in C loud
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Java Project - Cloud Computing, elysium technologies abstract.
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PHE: An Efficient Traitor Tracing and Revocation for Encrypted File Syncing-and-Sharing in C loud

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SKU: PROJ7150 Categories: 2017 Projects, Cloud Computing Projects, Final Year Projects, Online Java Projects, programming language Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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PHE: An Efficient Traitor Tracing and Revocation for Encrypted File Syncing-and-Sharing in C loud

Abstract— Recently, many more enterprises have moved their data into the cloud by using file syncing and sharing (F SS) service, but bring-your-own-device (BYOD) policies and greatly increasing mobile devices have in fact raised a new challenge for preventing the player/decoder abuse in the F SS service. This issue u sing a new system model with anomaly detection, tracing and revoking traitors. To implement this model, we p resent a new threshold cryptosystem, called Partially-ordered Hierarchical Encryption (PHE), which implements the par ti al-order key hierarchy, similar to role hierarchy in Hierarchical RBAC, in public-key infrastructure. This cryptosystem provides two security mechanisms, traitor tracing and revocation, to support efficient digital forensics. The security and performance analysis shows that our construction is threshold provably secure and has following features: dynamic joining and revoking users, constant-size cipher texts and decryption keys, lower over loads for large-scale systems. < final year projects >

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