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Article

Application of a MEMS-Based TRNG in a Chaotic Stream Cipher

Group of Electronic Design, University of Zaragoza, 50009 Zaragoza, Spain
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Academic Editor: Vittorio M. N. Passaro
Sensors 2017, 17(3), 646; https://doi.org/10.3390/s17030646
Received: 31 January 2017 / Revised: 9 March 2017 / Accepted: 17 March 2017 / Published: 21 March 2017
(This article belongs to the Section Physical Sensors)
In this work, we used a sensor-based True Random Number Generator in order to generate keys for a stream cipher based on a recently published hybrid algorithm mixing Skew Tent Map and a Linear Feedback Shift Register. The stream cipher was implemented and tested in a Field Programmable Gate Array (FPGA) and was able to generate 8-bit width data streams at a clock frequency of 134 MHz, which is fast enough for Gigabit Ethernet applications. An exhaustive cryptanalysis was completed, allowing us to conclude that the system is secure. The stream cipher was compared with other chaotic stream ciphers implemented on similar platforms in terms of area, power consumption, and throughput. View Full-Text
Keywords: cryptography; MEMS accelerometer; true random number generator; skew tent map; stream cipher cryptography; MEMS accelerometer; true random number generator; skew tent map; stream cipher
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MDPI and ACS Style

Garcia-Bosque, M.; Pérez, A.; Sánchez-Azqueta, C.; Celma, S. Application of a MEMS-Based TRNG in a Chaotic Stream Cipher. Sensors 2017, 17, 646. https://doi.org/10.3390/s17030646

AMA Style

Garcia-Bosque M, Pérez A, Sánchez-Azqueta C, Celma S. Application of a MEMS-Based TRNG in a Chaotic Stream Cipher. Sensors. 2017; 17(3):646. https://doi.org/10.3390/s17030646

Chicago/Turabian Style

Garcia-Bosque, Miguel; Pérez, Adrián; Sánchez-Azqueta, Carlos; Celma, Santiago. 2017. "Application of a MEMS-Based TRNG in a Chaotic Stream Cipher" Sensors 17, no. 3: 646. https://doi.org/10.3390/s17030646

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