The cryptographic hash function Blue Midnight Wish was submitted as a candidate for SHA-3 hash competition organized by National Institute of Standards and Technology (NIST).
This is the supporting documentation that describes in details the cryptographic hash function BLUE MIDNIGHT WISH which is submitted as a candidate for SHA-3 hash competition organized by National Institute of Standards and Technology (NIST), according to the public call . BLUE MIDNIGHT WISH is a cryptographic hash function with output size of n bits… (More)
This is the first implementation in FPGA of the recently published class of public key algorithms - MQQ, that are based on quasigroup string transformations. Our implementation achieves decryption throughput of 399 Mbps on an Xilinx Virtex-5 FPGA that is running on 249.4 MHz. The encryption throughput of our implementation achieves 44.27 Gbps on an Xilinx… (More)
In this paper we describe in details the tweaked cryptographic hash function Edon-R that we denote as Edon-R′. Edon-R was submitted as a candidate for SHA-3 hash competition organized by National Institute of Standards and Technology (NIST). The difference between originally submitted version of Edon-R and version Edon-R′ is in the added… (More)
This paper presents the design and analysis of an area efficient Blue Midnight Wish compression function with digest size of 256 bits (BMW-256) on FPGA platforms. The proposed architecture achieves significant improvements in system throughput with reduced area. We demonstrate the performance of the proposed BMW hash function core using VIRTEX 5 FPGA… (More)
This paper presents the design and analysis of an area-efficient programmable processing element (PPE) for implementing diverse cryptographic systems and diverse bit-widths (currently 16, 32, and 64). To evaluate the effectiveness of our design, we implement π-Cipher and BMW on the PPE. π-Cipher is a new algorithm for authenticated encryption that offers… (More)
Micron's Automata Processor (AP) efficiently emulates non-deterministic finite automata and has been shown to provide large speedups over traditional von Neumann execution for massively parallel, rule-based, data-mining and pattern matching applications. We demonstrate the AP's ability to generate high-quality and energy efficient pseudo-random behavior for… (More)