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

García-Bosque, M.; Pérez-Resa, A.; Sánchez-Azqueta, Carlos; Celma, S.

doi:10.3390/s17030646

Cited by 26 publications

(13 citation statements)

References 21 publications

(21 reference statements)

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“…Furthermore, it has been proven that, for all values of and , the behavior of this map is chaotic (i.e., it does not present periodic windows) [22]. Therefore, it is a very good candidate for use in chaos-based cryptosystems [23].…”

Section: Skew Tent Mapmentioning

confidence: 99%

“…Note that, although the possibility of combining an STM with an LFSR was advanced in [23,25], in this work the encryption algorithm was optimized using 8 bits of the LFSR after each iteration step, achieving better statistical properties while obtaining higher encryption speeds, as will be shown in the next sections. Furthermore, this paper presents an ASIC implementation of the system as well as experimental results and a comprehensive cryptanalysis.…”

Section: Encryption Algorithmmentioning

confidence: 99%

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A 1 Gbps Chaos-Based Stream Cipher Implemented in 0.18 μm CMOS Technology

et al. 2019

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In this work, a novel chaos-based stream cipher based on a skew tent map is proposed and implemented in a 0.18 μm CMOS (Complementary Metal-Oxide-Semiconductor) technology. The proposed ciphering algorithm uses a linear feedback shift register that perturbs the orbits generated by the skew tent map after each iteration. This way, the randomness of the generated sequences is considerably improved. The implemented stream cipher was capable of achieving encryption speeds of 1 Gbps by using an approximate area of ~ 20 , 000 2-NAND equivalent gates, with a power consumption of 24.1 mW. To test the security of the proposed cipher, the generated keystreams were subjected to National Institute of Standards and Technology (NIST) randomness tests, proving that they were undistinguishable from truly random sequences. Finally, other security aspects such as the key sensitivity, key space size, and security against reconstruction attacks were studied, proving that the stream cipher is secure.

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Section: Skew Tent Mapmentioning

confidence: 99%

Section: Encryption Algorithmmentioning

confidence: 99%

A 1 Gbps Chaos-Based Stream Cipher Implemented in 0.18 μm CMOS Technology

et al. 2019

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“…A variant of the chaotic map called STM (Skew-Tent-Map) has been used in this work to generate the pseudorandom bitstream, used as keystream of the proposed cryptographic system. Based on previous work by our group, this chaotic map has already been theoretically studied in [21] and [22]. The hardware block diagram of the basic STM algorithm is shown in Fig.…”

Section: A Chaotic Pseudorandom Bitstream Generatormentioning

confidence: 99%

Chaotic Encryption for 10-Gb Ethernet Optical Links

Pérez-Resa

García-Bosque

Sánchez-Azqueta

et al. 2019

IEEE Trans. Circuits Syst. I

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In this paper, a new physical layer encryption method for optical 10-Gb Ethernet links is proposed. Necessary modifications to introduce encryption in Ethernet 10GBase-R standard have been considered. This security enhancement has consisted of a symmetric streaming encryption of the 64b/66b data flow at physical coding sublayer level thanks to two keystream generators based on a chaotic algorithm. The overall system has been implemented and tested in a field programmable gate array. Ethernet traffic has been encrypted, transmitted, and decrypted over a multimode optical link. Experimental results are analyzed concluding that it is possible to cipher traffic at this level and hide the complete Ethernet traffic pattern from any passive eavesdropper. In addition, no overhead is introduced during encryption, getting no losses in the total throughput. Index Terms-Ethernet, 10GBASE-R, cryptography, stream cipher, skew tent map.

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“…P SEUDORANDOM number generators (PRNG) have many applications among diverse fields such as cryptography [1], communications [2], or procedural generation [3]. Specifically, in the field of instrumentation and measurements, PRNGs are needed in many applications such as statistical sampling, Monte Carlo simulations, evaluating the immunity to noise of digital systems and, in general, testing of physical, biological, and electrical systems: code density tests and determination of Wiener and Volterra kernels in nonlinear systems [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Chaos-Based Bitwise Dynamical Pseudorandom Number Generator On FPGA

García-Bosque

Pérez-Resa

Sánchez-Azqueta

et al. 2019

IEEE Trans. Instrum. Meas.

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In this paper, a new pseudorandom number generator (PRNG) based on the logistic map has been proposed. To prevent the system to fall into short period orbits as well as increasing the randomness of the generated sequences, the proposed algorithm dynamically changes the parameters of the chaotic system. This PRNG has been implemented in a Virtex 7 field-programmable gate array (FPGA) with a 32-bit fixed point precision, using a total of 510 lookup tables (LUTs) and 120 registers. The sequences generated by the proposed algorithm have been subjected to the National Institute of Standards and Technology (NIST) randomness tests, passing all of them. By comparing the randomness with the sequences generated by a raw 32-bit logistic map, it is shown that, by using only an additional 16% of LUTs, the proposed PRNG obtains a much better performance in terms of randomness, increasing the NIST passing rate from 0.252 to 0.989. Finally, the proposed bitwise dynamical PRNG is compared with other chaos-based realizations previously proposed, showing great improvement in terms of resources and randomness.Index Terms-Chaos, digital circuits, field-programmable gate array (FPGA), logistic map, pseudorandom number generator (PRNG), random number generation. Carlos Sánchez-Azqueta was born in Zaragoza, Spain. He received the B.Sc., M.Sc., and Ph.D. degrees in physics from the University of Zaragoza, Zaragoza, Spain, in 2006, 2010 the Dipl.-Ing. degree in electronic engineering from the Complutense University of Madrid, Madrid, Spain, in 2009.His current research interests include mixed-signal integrated circuits, high-frequency analog communications, and cryptography applications.Dr. Sánchez-Azqueta is a member of the

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

Cited by 26 publications

References 21 publications

A 1 Gbps Chaos-Based Stream Cipher Implemented in 0.18 μm CMOS Technology

A 1 Gbps Chaos-Based Stream Cipher Implemented in 0.18 μm CMOS Technology

Chaotic Encryption for 10-Gb Ethernet Optical Links

Chaos-Based Bitwise Dynamical Pseudorandom Number Generator On FPGA

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