Title :
LUT based secure cloud computing — An implementation using FPGAs
Author :
Lei Xu ; Pham Dang Khoa ; Seung Hun Kim ; Won Woo Ro ; Weidong Shi
Author_Institution :
Dept. of Comput. Sci., Univ. of Houston, Houston, TX, USA
Abstract :
Cloud computing is widely deployed to handle challenges such as big data processing and storage. Due to the outsourcing and sharing feature of cloud computing, security is one of the main concerns that hinders the end users to shift their businesses to the cloud. A lot of cryptographic techniques have been proposed to alleviate the data security issues in cloud computing, but most of these works focus on solving a specific security problem such as data sharing, comparison, searching, etc. At the same time, little efforts have been done on program security and formalization of the security requirements in the context of cloud computing. We propose a formal definition of the security of cloud computing, which captures the essence of the security requirements of both data and program. Analysis of some existing technologies under the proposed definition shows the effectiveness of the definition. We also give a simple look-up table based solution for secure cloud computing which satisfies the given definition. As FPGA uses look-up table as its main computation component, it is a suitable hardware platform for the proposed secure cloud computing scheme. So we use FPGAs to implement the proposed solution for k-means clustering algorithm, which shows the effectiveness of the proposed solution.
Keywords :
Big Data; cloud computing; field programmable gate arrays; pattern clustering; security of data; table lookup; FPGA; LUT based secure cloud computing; big data processing; cryptographic techniques; data security problem; data sharing; formalization; k-means clustering algorithm; look-up table; program security; secure cloud computing scheme; security requirements; suitable hardware platform; Cloud computing; Encryption; Field programmable gate arrays; Games; Table lookup;
Conference_Titel :
ReConFigurable Computing and FPGAs (ReConFig), 2014 International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4799-5943-3
DOI :
10.1109/ReConFig.2014.7032537