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CMOS-compatible RRAM-based structures for the implementation of Physical Unclonable Functions (PUF) and True Random Number Generators (TRNG)

CMOS-compatible RRAM-based structures for the implementation of Physical Unclonable Functions (PUF) and True Random Number Generators (TRNG)
基于 CMOS 兼容 RRAM 的结构,用于实现物理不可克隆函数 (PUF) 和真随机数生成器 (TRNG)
批准号:
439700144
负责人:
Professor Dr.-Ing. Thomas Mussenbrock
金额:
$0.0万
依托单位国家:
德国
项目类别:
Priority Programmes
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:

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中文摘要
翻译
物理不可克隆函数(PUF)和真随机数生成器(TRNG)是目前安全应用中广泛使用的两种生成随机比特流的组件。近十年来便携式消费电子产品的大量使用表明,无线通信的安全性是微电子技术需要满足的最重要的要求之一。因此,开发一种实现这些组件的实现具有以下特点:低功耗操作,高集成密度,并与CMOS工艺兼容,这是非常有趣的。遵循“More than Moore”方法(增加性能添加功能)可以实现这些特性。例如,电阻式随机存取存储器(RRAM)在过去几年中作为非易失性存储器(NVM)领域的有前途的候选者出现。此外,RRAM器件中开关操作背后的机制本质上是随机的。因此,RRAM技术最近开始被认为是实现未来PUF和TRNG组件的合适解决方案。本项目提出的研究涉及跨学科研究,以实现三个主要目标:1。详细研究了RRAM开关中涉及的电气参数的统计分布,这些参数通常被用作随机性的来源。2 .研究避免真正随机性的相关性是如何从基本的物理和化学过程中产生的。开发一种适当的操作算法,能够克服在RRAM设备的电气参数上发现的相关性,提供TRNG和PUF应用所需的真正随机数字输出。为了理解为什么RRAM器件的电气特性本质上是随机的,而不是真正随机的,将对这些器件进行完整的材料研究和电气表征。该表征所需的基于ram的结构将从众所周知的TiN/HfO2/Ti/TiN结构开始制造。制作参数将被修改以评估其在随机性中的影响。为了将电特性与物理和化学原子相互作用联系起来,需要一种互补的方法:原子模型的模拟。最后,统计分析对于指导PUF aa和TRNG实施的操作算法设计至关重要。
英文摘要
Physical Unclonable Functions (PUF) and True Random Number Generators (TRNG) are two components widely used nowadays to generate random bit streams in security applications. The huge increase in the last decade in the use of portable consumer electronics has revealed the security in wireless communications as one of the most important requirements to be fulfilled in microelectronics technology. Therefore, it is of great interest to develop an implementation of these components which accomplishes the following characteristics: low-power operation, high-integration density, and compatibility with CMOS processes. Following the “More than Moore” approach (Increase of the performance adding functionality) such characteristics can be achieved. For instance, Resistive Random Access Memories (RRAM) have emerged in the last years as promising candidates in the field of Non-Volatile Memories (NVM). Moreover, the mechanisms behind switching operations in RRAM devices are intrinsically stochastic. Therefore, RRAM technology has started recently to be considered as a suitable solution to implement the future PUF and TRNG components. The study proposed in this project involves interdisciplinary research in order to achieve three main targets:1. Studying in detail the statistical distributions of the electrical parameters involved in RRAM switching, which have been typically used as a source of randomness.2. Figuring out how the correlations which avoid the true randomness emerge from fundamental physical and chemical processes.3. Development of an appropriate operative algorithm able to overcome the correlations found on the electrical parameters of RRAM devices providing the true random digital outputs required for both TRNG and PUF applications. In order to understand why the electrical characteristics of RRAM devices are intrinsically stochastic but not true random, a complete materials study and electrical characterization will be performed with these devices. The RRAM-based structures required for this characterization will be fabricated by starting from the well-known TiN/HfO2/Ti/TiN structure. The fabrication parameters will be modified to assess their influence in the randomness. To link electrical characteristics to physical and chemical atomic interactions, a complementary approach is required: the simulation of atomistic models. Finally, the statistical analysis will be crucial to guide the design of the operative algorithm for the implementation of PUF aa well as TRNG.
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Wafer-level sensor structure for measurements of the ion energy distribution function and the ion angle distribution function in low-pressure plasmas
  • 批准号:
    335529250
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2017
  • 负责人:
    Professor Dr.-Ing. Thomas Mussenbrock
  • 依托单位:
Modeling and simulation of memristive devices and systems
Modellierung und Simulation memristiver Bauelemente und Systeme
Numerical simulation of microplasma jets and their interaction with surfaces
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