International audience

In this paper, we investigate the performance of a micro-wind turbine in a complex through the power output prediction for decision making. The power output at one particular location can be approximated by the Weibull function. The considered model is tested and validated at an urban landscape location in Metz City, France, where anemometry is positioned at adjacent to the turbine and the instrumentation is specific to its surrounding location including record wind turbine data thanks to real time wireless communications. Technical data including wind speed and output power were analyzed and reported allowing to provide a reliable estimation of the wind energy potential in an urban location upon five years experimental data.

SNOW-3G is a stream cipher used by the 3GPP standards as the core part of the confidentiality and integrity algorithms for UMTS and LTE standards. This paper proposes to combine a hyperchaotic pseudo-random number generator with the SNOW-3G stream cipher to enhance its security level and improve the randomness of the output keystream. The new proposed approach combines the perturbation technique with a nonlinear four-dimensional continuous chaotic system. The originality of this new scheme is that it provides a good tradeoff between high security, performance and hardware resources. Numerical simulations, hardware digital implementation and experimental results using Xilinx FPGA Virtex technology have demonstrated the feasibility and the efficiency of our secure solution while promising technique can be applied to secure the new generation mobile standards. Thorough NIST experimental tests are carried out with detailed analysis, demonstrating the high security of the new scheme compared to the SNOW-3G standard while still able to resist statistical and short keystream data set analysis attacks.

SNOW-3G is a stream cipher used by the 3GPP standards as the core part of the confidentiality and integrity algorithms for UMTS and LTE networks. This paper proposes an enhancement of the regular SNOW-3G ciphering algorithm based on HC-PRNG. The proposed cipher scheme is based on hyperchaotic generator which is used as an additional layer to the SNOW-3G architecture to improve the randomness of its output keystream. The objective of this work is to achieve a high security strength of the regular SNOW-3G algorithm while maintaining its standardized properties. The originality of this new scheme is that it provides a good trade-off between good randomness properties, performance, and hardware resources. Numerical simulations, hardware digital implementation, and experimental results using Xilinx FPGA Virtex technology have demonstrated the feasibility and the efficiency of our secure solution while promising technique can be applied to secure the new generation mobile standards. Thorough analysis of statistical randomness is carried out demonstrating the improved statistical randomness properties of the new scheme compared to the standard SNOW-3G, while preserving its resistance against cryptanalytic attacks.