Inverters with Different Loads for Ring Oscillators True Random Number Generator Analysis

There have been a multitude of security issues surfacing in hardware security at the moment. The hardware and software systems are exposed to a lot of multi-level attacks in the cryptography aspect. True random number generator (TRNG) can provide an answer to the issues by producing random and unpre...

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Main Authors: Hashim, N.A.N., Loong, J.T.H., Hamid, F.A.
Format: Conference Paper
Language:English
Published: 2020
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spelling my.uniten.dspace-128972020-07-07T04:36:02Z Inverters with Different Loads for Ring Oscillators True Random Number Generator Analysis Hashim, N.A.N. Loong, J.T.H. Hamid, F.A. There have been a multitude of security issues surfacing in hardware security at the moment. The hardware and software systems are exposed to a lot of multi-level attacks in the cryptography aspect. True random number generator (TRNG) can provide an answer to the issues by producing random and unpredictable keys or numbers that can be used in hardware and the transactions of the network. The way these random output are produced are through physical phenomenon that produces entropies that can be sampled by TRNG. This research provides an idea on how the performance of TRNG can be enhanced by creating a more random output. Nanoelectronics such as memristors have been adopted and explored to tackle the issues. The memristor has been implemented in the TRNG designs to analyze the performance results of the ouput. Different loads such as transistors, resistor and memristor have been used in the TRNG to investigate the effect on the performance of the TRNG. The TRNG design uses complementary metal oxide semiconductor (CMOS) technology of 0.18\ \boldsymbol{\mu} \mathbf{m} and is simulated by LT SPICE IV. The TRNG design in 2nd scenario produces the best results and passed 10 out of 12 of the NIST tests compared to other scenarios. © 2019 IEEE. 2020-02-03T03:27:39Z 2020-02-03T03:27:39Z 2019 Conference Paper 10.1109/RSM46715.2019.8943568 en
institution Universiti Tenaga Nasional
building UNITEN Library
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country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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language English
description There have been a multitude of security issues surfacing in hardware security at the moment. The hardware and software systems are exposed to a lot of multi-level attacks in the cryptography aspect. True random number generator (TRNG) can provide an answer to the issues by producing random and unpredictable keys or numbers that can be used in hardware and the transactions of the network. The way these random output are produced are through physical phenomenon that produces entropies that can be sampled by TRNG. This research provides an idea on how the performance of TRNG can be enhanced by creating a more random output. Nanoelectronics such as memristors have been adopted and explored to tackle the issues. The memristor has been implemented in the TRNG designs to analyze the performance results of the ouput. Different loads such as transistors, resistor and memristor have been used in the TRNG to investigate the effect on the performance of the TRNG. The TRNG design uses complementary metal oxide semiconductor (CMOS) technology of 0.18\ \boldsymbol{\mu} \mathbf{m} and is simulated by LT SPICE IV. The TRNG design in 2nd scenario produces the best results and passed 10 out of 12 of the NIST tests compared to other scenarios. © 2019 IEEE.
format Conference Paper
author Hashim, N.A.N.
Loong, J.T.H.
Hamid, F.A.
spellingShingle Hashim, N.A.N.
Loong, J.T.H.
Hamid, F.A.
Inverters with Different Loads for Ring Oscillators True Random Number Generator Analysis
author_facet Hashim, N.A.N.
Loong, J.T.H.
Hamid, F.A.
author_sort Hashim, N.A.N.
title Inverters with Different Loads for Ring Oscillators True Random Number Generator Analysis
title_short Inverters with Different Loads for Ring Oscillators True Random Number Generator Analysis
title_full Inverters with Different Loads for Ring Oscillators True Random Number Generator Analysis
title_fullStr Inverters with Different Loads for Ring Oscillators True Random Number Generator Analysis
title_full_unstemmed Inverters with Different Loads for Ring Oscillators True Random Number Generator Analysis
title_sort inverters with different loads for ring oscillators true random number generator analysis
publishDate 2020
_version_ 1672614188024856576
score 13.160551