Abstract
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.
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Notes
- 1.
Our described secure communication has been tested in an experimental network in CEZ Distribuce, a.s. (one of the biggest Czech power supplier). The MEg40+ Universal energy meter was installed in the power substation Noviny (Velky Grunov area, the Czech Republic). The Data Concentrator was located in Brno, the Czech Republic. The communication distance was approximately 240 km [14].
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Acknowledgement
Research described in this article was financed by the National Sustainability Program under grant LO1401and by the Technology Agency of Czech Republic project No. TA04021490. For the research, the infrastructure of the SIX Centre was used.
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Fujdiak, R., Mlynek, P., Misurec, J., Slacik, J. (2017). Software Optimization of Advanced Encryption Standard for Ultra-Low-Power MSP430. In: Silhavy, R., Silhavy, P., Prokopova, Z., Senkerik, R., Kominkova Oplatkova, Z. (eds) Software Engineering Trends and Techniques in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 575. Springer, Cham. https://doi.org/10.1007/978-3-319-57141-6_50
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DOI: https://doi.org/10.1007/978-3-319-57141-6_50
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