Advanced Data Encryption using 2D Materials

材料科学 电子线路 随机性 制作 光电子学 加密 纳米技术 计算机科学 电气工程 医学 统计 替代医学 数学 病理 工程类 操作系统
作者
Chao Wen,Xuehua Li,Tommaso Zanotti,Francesco Maria Puglisi,Yuanyuan Shi,Fernán Saiz,Aleandro Antidormi,Stephan Roche,Wenwen Zheng,Xianhu Liang,Jiaxin Hu,Steffen Duhm,J.B. Roldán,Tianru Wu,Victoria Chen,Eric Pop,B. Garrido,Kaichen Zhu,Fei Hui,Mario Lanza
出处
期刊:Advanced Materials [Wiley]
卷期号:33 (27): e2100185-e2100185 被引量:118
标识
DOI:10.1002/adma.202100185
摘要

Advanced data encryption requires the use of true random number generators (TRNGs) to produce unpredictable sequences of bits. TRNG circuits with high degree of randomness and low power consumption may be fabricated by using the random telegraph noise (RTN) current signals produced by polarized metal/insulator/metal (MIM) devices as entropy source. However, the RTN signals produced by MIM devices made of traditional insulators, i.e., transition metal oxides like HfO2 and Al2 O3 , are not stable enough due to the formation and lateral expansion of defect clusters, resulting in undesired current fluctuations and the disappearance of the RTN effect. Here, the fabrication of highly stable TRNG circuits with low power consumption, high degree of randomness (even for a long string of 224 - 1 bits), and high throughput of 1 Mbit s-1 by using MIM devices made of multilayer hexagonal boron nitride (h-BN) is shown. Their application is also demonstrated to produce one-time passwords, which is ideal for the internet-of-everything. The superior stability of the h-BN-based TRNG is related to the presence of few-atoms-wide defects embedded within the layered and crystalline structure of the h-BN stack, which produces a confinement effect that avoids their lateral expansion and results in stable operation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
爆米花应助等广东下雪w采纳,获得10
刚刚
充电宝应助完美的采珊采纳,获得10
1秒前
木龙发布了新的文献求助10
1秒前
2秒前
wanci应助忧心的板栗采纳,获得10
2秒前
3秒前
Lucas应助美好的千凝采纳,获得10
3秒前
Wilson发布了新的文献求助10
4秒前
溪水应助初景采纳,获得10
4秒前
魔幻冬寒完成签到 ,获得积分10
5秒前
CC发布了新的文献求助10
6秒前
6秒前
cgq19960718发布了新的文献求助10
7秒前
猫生完成签到,获得积分10
7秒前
JIN0发布了新的文献求助10
7秒前
8秒前
左丘绝山完成签到,获得积分10
8秒前
小蘑菇应助云猩猩采纳,获得10
8秒前
zhuyun_2020发布了新的文献求助20
9秒前
9秒前
10秒前
10秒前
10秒前
10秒前
SciGPT应助Cassian采纳,获得10
12秒前
12秒前
传奇3应助fortune采纳,获得10
12秒前
14秒前
Zoey_Z发布了新的文献求助10
15秒前
15秒前
温柔的紫萱完成签到 ,获得积分10
15秒前
15秒前
16秒前
Wilson完成签到,获得积分10
17秒前
18秒前
18秒前
xueyingliu发布了新的文献求助10
18秒前
乐乐应助乘风采纳,获得10
19秒前
可靠寒云完成签到,获得积分10
19秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Positive Art Therapy Theory and Practice 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Key mechanistic insights into the intramolecular C-H bond amination and double bond aziridination in sulfamate esters catalyzed by dirhodium tetracarboxylate complexes 500
The Neuroscience of Language 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7672013
求助须知:如何正确求助?哪些是违规求助? 9239085
关于积分的说明 19898695
捐赠科研通 7241539
什么是DOI,文献DOI怎么找? 3285228
关于科研通互助平台的介绍 2443400
邀请新用户注册赠送积分活动 2287368