eprintid: 2490
rev_number: 11
eprint_status: archive
userid: 4
dir: disk0/00/00/24/90
datestamp: 2017-06-10 11:54:35
lastmod: 2017-12-07 06:51:13
status_changed: 2017-06-10 11:54:35
type: article
metadata_visibility: show
creators_name: Bui, Duy Hieu
creators_name: Puschini, Diego
creators_name: Bacles-Min, Simone
creators_name: Beigne, Edith
creators_name: Tran, Xuan Tu
creators_id: hieubd@vnu.edu.vn
creators_id: diego.puschini@cea.fr
creators_id: Simone.BACLES-MIN@cea.fr
creators_id: edith.beigne@cea.fr
creators_id: tutx@vnu.edu.vn
title: AES datapath optimization strategies for low-power low-energy multi-security-level Internet-of-Thing applications
ispublished: pub
subjects: ECE
subjects: ElectronicsandComputerEngineering
subjects: Scopus
subjects: isi
divisions: fac_fet
divisions: lab_sis
abstract: Connected devices are getting attention because of the lack of security mechanisms in current Internet-of-Thing (IoT) products. The security can be enhanced by using standardized and proven-secure block ciphers as Advanced Encryption Standard (AES) for data encryption and authentication. However, these security functions take a large amount of processing power and power/energy consumption. In this paper, we present our hardware optimization strategies for Advanced Encryption Standard (AES) for high speed, ultra-low power, ultra-low energy IoT applications with multiple levels of security. Our design supports multiple security levels through different key sizes, power and energy optimization for both datapath and
key expansion. The estimated power results show that our
implementation may achieve an energy per bit comparable with
the lightweight standardized algorithm PRESENT of less than
1pJ/bit at 10MHz at 0.6V with throughput of 28Mbps in ST
FDSOI 28nm technology. In terms of security evaluation, our
proposed datapath, 32-bit key out of 128 bits cannot be revealed by Correlation Power Analysis (CPA) attack using less than 20 thousand traces.
date: 2017-08
date_type: published
publisher: IEEE
official_url: http://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=92
full_text_status: none
publication: IEEE Transactions on Very Large Scale Integration (VLSI) Systems
volume: 25
number: 12
pagerange: 3281-3290
refereed: TRUE
issn: 1063-8210
citation:   Bui, Duy Hieu and Puschini, Diego and Bacles-Min, Simone and Beigne, Edith and Tran, Xuan Tu  (2017) AES datapath optimization strategies for low-power low-energy multi-security-level Internet-of-Thing applications.  IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 25  (12).   pp. 3281-3290.  ISSN 1063-8210