High throughput FPGA Implementation of Data Encryption Standard with time variable sub-keys

The Data Encryption Standard (DES) was the first modern and the most popular symmetric key algorithm used for encryption and decryption of digital data. Even though it is nowadays not considered secure against a determined attacker, it is still used in legacy applications. This paper presents a secure and high-throughput Field Programming Gate Arrays (FPGA) implementation of the Data Encryption Standard algorithm. This is achieved by combining 16 pipelining concept with time variable sub-keys and compared with previous illustrated encryption algorithms. The sub-keys vary over time by changing the key schedule permutation choice 1. Therefore, every time the plaintexts are encrypted by different sub-keys. The proposed algorithm is implemented on Xilinx Spartan-3e (XC3s500e) FPGA. Our DES design achieved a data encryption rate of 10305.95 Mbit/s and 2625 number of occupied CLB slices. These results showed that the proposed implementation is one of the fastest hardware implementations with much greater security

High throughput FPGA Implementation of Advanced Encryption Standard Algorithm

 The growth of computer systems and electronic communications and transactions has meant that the need for effective security and reliability of data communication, processing and storage is more important than ever. In this context, cryptography is a high priority research area in engineering. The Advanced Encryption Standard (AES) is a symmetric-key criptographic algorithm for protecting sensitive information and is one of the most widely secure and used algorithm today. High-throughput, low power and compactness have always been topic of interest for implementing this type of algorithm. In this paper, we are interested on the development of high throughput architecture and implementation of AES algorithm, using the least amount of hardware possible. We have adopted a pipeline approach in order to reduce the critical path and achieve competitive performances in terms of throughput and efficiency. This approach is effectively tested on the AES S-Box substitution. The latter is a complex transformation and the key point to improve architecture performances. Considering the high delay and hardware required for this transformation, we proposed 7-stage pipelined S-box by using composite field in order to deal with the critical path and the occupied area resources. In addition, efficient AES key expansion architecture suitable for our proposed pipelined AES is presented. The implementation had been successfully done on Virtex-5 XC5VLX85 and Virtex-6 XC6VLX75T Field Programmable Gate Array (FPGA) devices using Xilinx ISE v14.7. Our AES design achieved a data encryption rate of 108.69 Gbps and used only 6361 slices ressource. Compared to the best previous work, this implementation improves data throughput by 5.6% and reduces the used slices to 77.69%

High Throughput Parallel Implementation of Blowfish Algorithm

Each day, millions of users generate and interchange large volumes of information in various fields. Cryptography plays an important role in preserving the confidentiality of data transmitted over public networks especially with rapidly growth in communication techniques. In the recent years, there is an increasing requirement to implement cryptographic algorithms in fast rising high-speed network applications. In this article, we present high throughput efficient hardware architecture of Blowfish cryptographic algorithm.We have adopted pipeline technique in order to increase the speed and the maximum operating frequency. Therefore, registers are inserted in optimal placements. In addition, the S-box tables of each round of the algorithm have been implemented in block RAMs to allow parallel data encryption. The implementation has been successfully done by virtex-5 (xc5vlx220t) FPGA device using Xilinx ISE 14.7. Our proposed architecture is very fast, it achieves a throughput of 12 Gbps and occupied 1280 slices, whereas the highest reported throughput in the literature as our knowledge is 6.3 Gbps