Software Optimization of Advanced Encryption Standard for Ultra-Low-Power MSP430
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124098" target="_blank" >RIV/00216305:26220/17:PU124098 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-57141-6_50" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-57141-6_50</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-57141-6_50" target="_blank" >10.1007/978-3-319-57141-6_50</a>
Alternative languages
Result language
angličtina
Original language name
Software Optimization of Advanced Encryption Standard for Ultra-Low-Power MSP430
Original language description
The Internet of Things (IoT) is undoubtedly a current topic for private and public sector. Nowadays, the communication technologies allow to connect even a simplest physical object often with very limited physical resources. The IoT cover among the others also many areas with sensitive data, where the limited devices are also used. The use of these limited devices keep the security issue as a difficult task. The symmetric ciphers are often considered as a best way to encrypt the communication in the limited devices. Despite the fact that there are many hardware optimized solutions, there are still areas where these solutions cannot be used i.e. due to the limiting price or power. This paper focus on a software optimization of the symmetric cipher on limited micro-controller. Two main implementation are introduced. Further, we provide experimental measurements and possible suggestions for time consumption and memory use reduction.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artificial Intelligence Trends in Intelligent Systems
ISBN
978-3-319-57261-1
ISSN
2194-5357
e-ISSN
—
Number of pages
10
Pages from-to
469-478
Publisher name
Springer
Place of publication
Cham
Event location
online
Event date
Apr 26, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000405338500050