Conference paper
Low-complexity two instruction set computer architecture for sensor network using Skipjack encryption
International Conference on Advanced Information Networking and Applications. Proceedings, pp.472-477
International Conference on Information Networking (ICOIN), 2011 (Kuala Lumpur, Malaysia, 26-Jan-2011–28-Jan-2011)
Institute of Electrical and Electronics Engineers
2011
Abstract
This paper presents a low-complexity hardware design and implementation of the Skipjack algorithm using the Two Instruction Set Computer (TISC) on a Xilinx Spartan-3 FPGA. The proposed low-complexity design makes use of the TISC processor architecture with only Adder and XOR hardware ALU blocks to perform the complete Skipjack encryption onto plaintext data. The hardware architecture was verified using the Handel-C hardware description language uses only a single memory block RAM and only 129 instructions for a complete 32 rounds of encryption. The TISC Skipjack processor occupies only 1% of the Spartan-3 available chip area, which are 116 occupied slices in total, making it a suitable choice for implementation in sensor networks for embedded security where hardware resources are scarce.
Details
- Title
- Low-complexity two instruction set computer architecture for sensor network using Skipjack encryption
- Authors
- J H Kong (Author) - University of Nottingham Malaysia CampusLi-Minn Ang (Author) - University of Nottingham Malaysia CampusK P Seng (Author) - University of Nottingham Malaysia CampusF T Ong (Author) - University of Nottingham Malaysia Campus
- Publication details
- International Conference on Advanced Information Networking and Applications. Proceedings, pp.472-477
- Conference details
- International Conference on Information Networking (ICOIN), 2011 (Kuala Lumpur, Malaysia, 26-Jan-2011–28-Jan-2011)
- Publisher
- Institute of Electrical and Electronics Engineers
- Date published
- 2011
- DOI
- 10.1109/ICOIN.2011.5723161; 10.1109/ICOIN17753.2011
- ISSN
- 2332-5658; 1550-445X
- ISBN
- 9781612846637
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
- Language
- English
- Record Identifier
- 99513896502621
- Output Type
- Conference paper
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