Self-synchronizing chaotic stream ciphers
Signal Processing
True random number generation based on environmental noise measurements for military applications
ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
True random number generator based on mouse movement and chaotic hash function
Information Sciences: an International Journal
Invariant measures of tunable chaotic sources: robustness analysis and efficient estimation
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Improving the Robustness of Ring Oscillator TRNGs
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
IEEE Transactions on Signal Processing
Randomness enhancement using digitalized modified logistic map
IEEE Transactions on Circuits and Systems II: Express Briefs
Efficient authentication for mobile and pervasive computing
ICICS'10 Proceedings of the 12th international conference on Information and communications security
Implementation and testing of high-speed CMOS true random number generators based on chaotic systems
IEEE Transactions on Circuits and Systems Part I: Regular Papers - Special section on 2009 IEEE system-on-chip conference
A robust random number generator based on a differential current-mode chaos
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Analog Integrated Circuits and Signal Processing
Secure true random number generator in WLAN/LAN
Proceedings of the 6th International Conference on Security of Information and Networks
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We present a true random number generator which, contrary to other implementations, is not based on the explicit observation of complex micro-cosmic processes but on standard signal processing primitives, freeing the designer from the need for dedicated hardware. The system can be implemented from now ubiquitous analog-to-digital converters building blocks, and is therefore well-suited to embedding. On current technologies, the design permits data rates in the order of a few tens of megabits per second. Furthermore, the absence of predictable, repeatable behaviors increases the system security for cryptographic applications. The design relies on a simple inner model based on chaotic dynamics which, in ideal conditions, can be formally proven to generate perfectly uncorrelated binary sequences. Here, we detail the design and we validate the quality of its output against a couple of test suites standardized by the U.S. National Institute of Standards and Technology, both in the ideal case and assuming implementation errors.