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<p>The paper presents the design and measurement results of a metastability based true random number generator (TRNG) core, which was fabricated with HHGRACE 130-nm CMOS technology. Design and simulation results of a complete TRNG intended for hardware cryptographic systems, internet-of-things (IoT), smartcards and secure communication applications is also presented. Random numbers are generated from the differential noise occurring at the StrongARM comparator inputs. Tests were carried out at 0 <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10470_2024_2298_Article_IEq1.gif" Format="GIF" Height="7" Rendition="HTML" Resolution="72" Type="Linedraw" Width="9" /> </InlineMediaObject> <EquationSource Format="TEX">\(^{\circ }\)</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow /> <mo>∘</mo> </mmultiscripts> </math></EquationSource> </InlineEquation>C, 50 <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10470_2024_2298_Article_IEq2.gif" Format="GIF" Height="7" Rendition="HTML" Resolution="72" Type="Linedraw" Width="9" /> </InlineMediaObject> <EquationSource Format="TEX">\(^{\circ }\)</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow /> <mo>∘</mo> </mmultiscripts> </math></EquationSource> </InlineEquation>C and 70 <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10470_2024_2298_Article_IEq3.gif" Format="GIF" Height="7" Rendition="HTML" Resolution="72" Type="Linedraw" Width="9" /> </InlineMediaObject> <EquationSource Format="TEX">\(^{\circ }\)</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow /> <mo>∘</mo> </mmultiscripts> </math></EquationSource> </InlineEquation>C on two separate chips, which confirmed full compliance with NIST and AIS-31 randomness criteria. The proposed complete TRNG occupies 10000 <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10470_2024_2298_Article_IEq4.gif" Format="GIF" Height="13" Rendition="HTML" Resolution="72" Type="Linedraw" Width="12" /> </InlineMediaObject> <EquationSource Format="TEX">\(\upmu\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="normal">μ</mi> </math></EquationSource> </InlineEquation>m<InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10470_2024_2298_Article_IEq5.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="8" /> </InlineMediaObject> <EquationSource Format="TEX">\(^2\)</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow /> <mn>2</mn> </mmultiscripts> </math></EquationSource> </InlineEquation> area, and offers 30-Mbps throughput while consuming 1.35 mW for 1.5-V power supply voltage.</p>

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Metastability-based random number generator with current-controlled offset compensation

  • 期刊论文

  • 发表日期：

    2025年2月8日

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  • Yasin Talay

摘要

The paper presents the design and measurement results of a metastability based true random number generator (TRNG) core, which was fabricated with HHGRACE 130-nm CMOS technology. Design and simulation results of a complete TRNG intended for hardware cryptographic systems, internet-of-things (IoT), smartcards and secure communication applications is also presented. Random numbers are generated from the differential noise occurring at the StrongARM comparator inputs. Tests were carried out at 0 \(^{\circ }\) ∘ C, 50 \(^{\circ }\) ∘ C and 70 \(^{\circ }\) ∘ C on two separate chips, which confirmed full compliance with NIST and AIS-31 randomness criteria. The proposed complete TRNG occupies 10000 \(\upmu\) μ m \(^2\) 2 area, and offers 30-Mbps throughput while consuming 1.35 mW for 1.5-V power supply voltage.