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

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 (F...

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Bibliographic Details
Main Authors: Miguel Garcia-Bosque, Adrián Pérez, Carlos Sánchez-Azqueta, Santiago Celma
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/17/3/646
Description
Summary: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.
ISSN:1424-8220