High Speed Data Cryptography Technique of Blowfish Algorithm using VHDL

Nowadays, information security is more important issue for reliable data transfer. A cryptographic method is widely used to ensure the security of data. To keep the information from being hacked by the other party, data is encoded by using this method. To meet these requirements the implementation of the Blowfish algorithm in the commercial FPGA has can be used to obtain high performance of such FPGA based reconfigurable systems. This paper presents, how such a system can be used to enhance the speed of cryptographic computation. By using FPGA design, the Blowfish computation can be increased in speed. In this, Xilinx software is used for the analysis purpose. The results will lead to the general conclusion that the use of an FPGA coprocessor is ideally suited for the execution of cryptographic algorithms regarding execution time and flexible usage. The performance is analyzed in terms of its architecture, speed, throughput, and encryption time

Comparing the performance of FPGA-based custom computers with general-purpose computers for DSP applications

When FPGA logic circuits are incorporated within a stored-program computer, the result is a machine where the programmer can design both the software and the hardware that will execute that software. This paper first describes some of the more important custom computers, and their potential weakness as DSP implementation platforms. It then describes a new custom computing architecture which is specifically designed for efficient implementation of DSP algorithms. Finally, it presents a simple performance comparison of a number of DSP implementation alternatives, and concludes that the new custom computing architecture is worthy of further investigation, and that custom computers based only on FPGA execution units show little performance improvement over state-of-the-art workstations

Secure FPGA as a Service - Towards Secure Data Processing by Physicalizing the Cloud

Securely processing data in the cloud is still a difficult problem, even with homomorphic encryption and other privacy preserving schemes. Hardware solutions provide additional layers of security and greater performance over their software alternatives. However by definition the cloud should be flexible and adaptive, often viewed as abstracting services from products. By creating services reliant on custom hardware, the core essence of the cloud is lost. FPGAs bridge this gap between software and hardware with programmable logic, allowing the cloud to remain abstract. FPGA as a Service (FaaS) has been proposed for a greener cloud, but not for secure data processing. This paper explores the possibility of Secure FaaS in the cloud for privacy preserving data processing, describes the technologies required, identifies use cases, and highlights potential challenges