A very compact AES-SPIHT selective encryption computer architecture design with improved S-Box

J H Kong; Li-Minn Ang; K P Seng

doi:10.1155/2013/785126

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A very compact AES-SPIHT selective encryption computer architecture design with improved S-Box

Journal article

Open access

Peer reviewed

A very compact AES-SPIHT selective encryption computer architecture design with improved S-Box

J H Kong, Li-Minn Ang and K P Seng

Journal of Engineering (London), Vol.2013, pp.1-26

2013

DOI: https://doi.org/10.1155/2013/785126

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Abstract

Advanced Encryption Standard (AES)

S-box

Data Encryption Standard (DES)

wireless sensor network (WSN)

The “S-box” algorithm is a key component in the Advanced Encryption Standard (AES) due to its nonlinear property. Various implementation approaches have been researched and discussed meeting stringent application goals (such as low power, high throughput, low area), but the ultimate goal for many researchers is to find a compact and small hardware footprint for the S-box circuit. In this paper, we present our version of minimized S-box with two separate proposals and improvements in the overall gate count. The compact S-box is adopted with a compact and optimum processor architecture specifically tailored for the AES, namely, the compact instruction set architecture (CISA). To further justify and strengthen the purpose of the compact crypto-processor’s application, we have also presented a selective encryption architecture (SEA) which incorporates the CISA as a part of the encryption core, accompanied by the set partitioning in hierarchical trees (SPIHT) algorithm as a complete selective encryption system.

Details

Title: A very compact AES-SPIHT selective encryption computer architecture design with improved S-Box
Authors: J H Kong (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - Edith Cowan University
K P Seng (Author) - Edith Cowan University
Publication details: Journal of Engineering (London), Vol.2013, pp.1-26
Publisher: Hindawi Limited
Date published: 2013
DOI: 10.1155/2013/785126
ISSN: 2314-4904; 2314-4912; 2314-4904
Copyright note: Copyright © 2013 Jia Hao Kong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513804802621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Engineering, Multidisciplinary