8.3 Gbps pipelined LEA Crypto-Processor Supporting ECB/CTR Modes of operation

Abstract

A LEA (Lightweight Encryption Algorithm) crypto-processor was designed, which supports three master key lengths of 128/ 192/256-bit, ECB and CTR modes of operation. To achieve high throughput rate, the round transformation block was designed with 128 bits datapath and a pipelined structure of 16 stages. Encryption/decryption is carried out through 12/14/16 pipelined stages according to the master key length, and each pipelined stage performs round transformation twice. The key scheduler block was optimized to share hardware resources that are required for encryption, decryption, and three master key lengths. The round keys generated by key scheduler are stored in 32 round key registers, and are repeatedly used in round transformation until master key is updated. The pipelined LEA processor was verified by FPGA implementation, and the estimated performance is about 8.3 Gbps at the maximum clock frequency of 130 MHz. 키워드 : LEA, 블록암호, 정보보안, 고성능 암호, 운영모드 Key word : LEA, block cipher, information security, high performance encryption, modes of operation Received 08 July 2016, Revised 11 July 2016, Accepted 18 July 2016 * Corresponding Author Kyung-Wook Shin(E-mail:kwshin@kumoh.ac.kr, Tel:+82-54-478-7427) School of Electronic Engineering, Kumoh National Institute of Technology, Gumi, Kyungbuk, 39177, Korea Open Access http://doi.org/10.6109/jkiice.2016.20.12.2333 print ISSN: 2234-4772 online ISSN: 2288-4165 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License(http://creativecommons.org/li-censes/ by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright C The Korea Institute of Information and Communication Engineering. Journal of the Korea Institute of Information and Communication Engineering 한국정보통신학회논문지(J. Korea Inst. Inf. Commun. Eng.) Vol. 20, No. 12 : 2333~2340 Dec. 2016