FASTEN: An FPGA-Based Secure System for Big Data Processing
Boeui Hong, Han-Yee Kim, Minsu Kim, Taeweon Suh, Lei Xu, Weidong Larry Shi · IEEE Design and Test · 2017
In cloud computing framework, the data security and protection is one of the most important aspects for optimization and concrete implementation. This paper proposes a reliable yet efficient FPGA-based security system via crypto engines and Physical Unclonable Functions (PUFs) for big data applications. Considering that FPGA or GPU-based accelerators are popular in data centers, we believe the proposed approach is very practical and effective method for data security in cloud computing.