Date of Award
4-17-2019
Document Type
Thesis
Degree Name
Computer Science, MS
First Advisor
Hai Jiang
Committee Members
Donghoon Kim; Hung-Chi Su
Call Number
LD 251 .A566t 2019 F26
Abstract
With the development of cloud computing, data security became popular in recent decades. The public key cryptography has its limitation for a considerable number of receivers, which need encrypt the plaintext several times which based on the receivers' number. Bethencourt. Et al., introduced Ciphertext-policy Attribute-based encryption (ABE) in 2007. CP-ABE became one of the hottest topics in the cryptography system. Because of the advantage of CP-ABE system, which is easy to use for remote storage or distributed data centers. Meanwhile, CP-ABE can provide fine-grain access control, which has the flexibility to send ciphertexts. However, it has such advantages, but the CP-ABE is not mature and no practical yet. There are a few implementations in the real world. Because of several limitations of CP-ABE, such as complexity of computation, lack efficiency revocation function [4, 17], etc. This paper will review the CP-ABE research paper, analyze the current CP-ABE toolkit [21]. Because of the current CP-ABE is open source software, we can modify it accordingly. Meanwhile, we will use GPU to reduce the execution time, try to use CUDA cores computation power to accelerate CP-ABE.
Rights Management
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Fan, Kai, "GPU Acceleration of Ciphertext-Policy Attribute-Based Encryption" (2019). Student Theses and Dissertations. 444.
https://arch.astate.edu/all-etd/444
