A 128K EPROM using encryption of pseudorandom numbers to enable read access

Letham, L.; Hoff, David; Folmsbee, A.

doi:10.1109/jssc.1986.1052621

Cited by 25 publications

(4 citation statements)

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“…Complexity of defining equations of the source is not a necessary condition for generation of a random sequence. Making the RNG susceptible to influences from many independent random influences, as in [15], is not a necessity.…”

Section: Chaos and Rngsmentioning

confidence: 99%

“…It is widely accepted that the core of any RNG must be an intrinsically random physical process. So, it is no surprise that the proposals and implementations of RNGs range from tossing a coin, throwing a dice [3], drawing from a urn, drawing from a deck of cards and spinning a roulette to measuring thermal noise from a resistor and shot noise from a Zener diode or a vacuum tube [4]- [9], measuring radioactive decay from a radioactive source [4]- [6], [10], integrating dark current from a metal insulator semiconductor capacitor [11], detecting locations of photoevents [12], and sampling a stable high-frequency oscillator with an unstable low-frequency clock [13]- [15]. There exist certain methods to convert the assumed randomness of a physical process into a sequence of discrete random variables (desirably independent and with identical distribution), most usually binary ones, and later on to derive the desired distribution from them.…”

Section: Introductionmentioning

confidence: 99%

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Chaos-based random number generators-part I: analysis [cryptography]

Stojanovski

Kocarev

2001

IEEE Trans. Circuits Syst. I

352

137

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This paper and its companion (Part II) are devoted to the analysis of the application of a chaotic piecewise-linear onedimensional (PL1D) map as random number generator (RNG). Piecewise linearity of the map enables us to mathematically find parameter values for which a generating partition is Markov and the RNG behaves as a Markov information source, and then to mathematically analyze the information generation process and the RNG. In the companion paper we discuss practical aspects of our chaos-based RNGs.

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Section: Chaos and Rngsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Chaos-based random number generators-part I: analysis [cryptography]

Stojanovski

Kocarev

2001

IEEE Trans. Circuits Syst. I

352

137

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“…The oscillator sampling method [11], [12] produces randomness from phase noise (ideally a byproduct of MOSFET thermal noise) in free-running oscillators. An example of this technique is shown in Fig.…”

Section: B Oscillator Samplingmentioning

confidence: 99%

A noise-based IC random number generator for applications in cryptography

Petrie

Connelly

2000

IEEE Trans. Circuits Syst. I

419

172

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The design of a mixed-signal random number generator (RNG) integrated circuit (IC) suitable for integration with hardware cryptographic systems is presented. Certain applications in cryptography require the use of a truly RNG, a device which produces unpredictable and unbiased digital signals derived from a fundamental noise mechanism. For IC-based cryptographic systems, an RNG must harness randomness from a low-power noise signal yet remain insensitive to deterministic influences such as crosstalk, power supply noise, and clock signal coupling through the substrate. An RNG IC utilizing established analog IC design techniques was designed and fabricated in a 2-m CMOS technology. Sequences generated by the experimental system repeatedly passed many standard randomness tests for bit rates up to 1.4 MHz. No changes in randomness performance were observed as the system was exposed to power supply noise and substrate signal coupling. The system occupies a total chip area of 1.5 mm 2 and dissipates 3.9 mW of power.Index Terms-Cryptography, noise generator, random bit generator, random number generator, truly random.

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“…However, the requirement of complete unpredictability is unrealistic since the sequence can always be determined given the initial conditions of the algorithm [5]. On the contrary, the generation of PRN relies on stochastic physical processes such as thermal noise, quantum fluctuations and frequency jitter of oscillators, etc [6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Generation of multi-channel high-speed physical random numbers originated from two chaotic signals of mutually coupled semiconductor lasers

Tang¹,

Wu²,

Wu³

et al. 2014

Laser Phys. Lett.

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We propose and experimentally demonstrate a novel technique to generate multi-channel high-speed physical random numbers (PRNs) by taking two chaotic signal outputs from mutually coupled semiconductor lasers (MC-SLs) as entropy sources. First, through controlling the operation parameters of the MC-SL system, two time-delay signature (TDS) suppressed chaotic signals can be obtained. Next, each of these two chaotic signals is sampled by an 8 bit analog-to-digital converter (ADC) with a sampling rate of 10 GHz, and then a bitwise exclusive-OR (XOR) operation on the corresponding bits in samples of the chaotic signal and its time delayed signal is implemented to obtain 8 bit XOR data. Furthermore, through selecting the five least significant bits (LSBs) of 8 bit XOR data to form 5 bit Boolean sequences, two sets of PRN streams with a rate up to 50 Gbits s −1 are generated and successfully pass the NIST statistical tests. Finally, merging these two sets of 50 Gbits s −1 PRN streams by an interleaving operation, another set of the 100 Gbits s −1 PRN stream, which meets all the quality criteria of NIST statistical tests, is also acquired.

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A 128K EPROM using encryption of pseudorandom numbers to enable read access

Cited by 25 publications

References 0 publications

Chaos-based random number generators-part I: analysis [cryptography]

Chaos-based random number generators-part I: analysis [cryptography]

A noise-based IC random number generator for applications in cryptography

Generation of multi-channel high-speed physical random numbers originated from two chaotic signals of mutually coupled semiconductor lasers

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