STT-MRAM Random Number Generator with Anti-Temperature Interference and Security Analysis

doi:10.3969/j.issn.1671-1122.2022.08.005

Abstract

Abstract:

In recent years, anisotropic magnetic materials are being used to build essential security primitives like random number generators (RNG). The existing magnetic tunnel junction (MTJ)-based random number generator scheme, although with higher security, energy efficiency, and integration density, cannot solve the problem effectively that the randomness of the output is affected by temperature. This paper presents two novel random number generator methods against temperature interference, non-uniform writing and uncertain reference. The two methods improve the randomness of random number outputs while suppressing the interference caused by environmental temperature. The experimental results demonstrate that the Shannon entropy of the random numbers generated by the two RNG schemes is around 97%. The proposed RNG can pass the National Institute of Standards and Technology (NIST) test suites with high passing rates (>98.5%).

Key words: random number generator, STT-MRAM, anti-temperature interference, non-uniform writing, uncertain reference

CLC Number:

TP309

WU Linjun, LIU Yang, YUAN Tao, HU Yupeng. STT-MRAM Random Number Generator with Anti-Temperature Interference and Security Analysis[J]. Netinfo Security, 2022, 22(8): 36-43.

Figures/Tables 8

References 26

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RNG	RNG1	RNG2	RNG3	RNG4	RNG5	RNG6	RNG7	RNG8	RNG9
MRAM存储阵列规格（m•n单元）	4•4	8•8	8•16	4•4	8•8	8•16	4•4	8•8	8•16
RNG实现方案	均匀写入	均匀写入	均匀写入	非均匀写入	非均匀写入	非均匀写入	非固定参考	非固定参考	非固定参考

RNG	NIST 统计数据	p值	通过概率
RNG3	Frequency	0.461119	200/200
	BlockFrequency	0.213763	195/200
	CumulativeSums1	0.891582	199/200
	CumulativeSums2	0.432146	198/200
	Runs	0.538725	197/200
	LongestRun	0.506148	199/200
	Rank	0.924973	200/200
	FFT	0.74021	198/200
RNG6	Frequency	0.511566	199/200
	BlockFrequency	0.366237	200/200
	CumulativeSums1	0.582193	200/200
	CumulativeSums2	0.492417	198/200
	Runs	0.354821	199/200
	LongestRun	0.499620	199/200
	Rank	0.937274	197/200
	FFT	0.801549	200/200
RNG9	Frequency	0.719728	199/200
	BlockFrequency	0.432392	200/200
	CumulativeSums1	0.879813	198/200
	CumulativeSums2	0.879813	199/200
	Runs	0.635793	200/200
	LongestRun	0.534076	198/200
	Rank	0.918783	197/200
	FFT	0.869371	200/200

RNG	文献[16]方法	文献[18]方法	文献[19]方法	文献[25]方法	RNG6	RNG9
熵值	1-10^-9	<0.924076	—	<0.9	0.9753	0.9609
NIST通过率	通过	>0.9090	>0.95	—	>0.985	>0.985