SBIR Phase I: Quantum Random Walking for Ultra-High Speed, Parallel and Truly-random Number Generation

SBIR 第一阶段：用于超高速、并行和真正随机数生成的量子随机行走

• 批准号: 1646995
• 负责人: Carol Scarlett
• 金额: $ 22.48万
• 依托单位: Axion Technologies
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-12-15 至 2017-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1646995&HistoricalAwards=false
• 关键词: SBIR; Phase; Quantum; Random; Walking

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project includes: 1) development of novel encryption and authentication technology to improve cybersecurity and 2) the reduction of economic loss due to data breaches. The larger societal need for new technologies in the cyber arena has been well documented over the past 10 years. With the growing dependence on computers in practically every aspect of modern life, use of social media, large industries moving towards high performance (faster) computing networks and the coming era of the Internet of Things (IoT), the market for cyber technology is expected to grow at a steady rate of as much as 15% annually. This project will create a high speed, parallel and Truly-Random Number Generator (TRNG) with signal embedding capabilities. With an optical core, the device will have advantages over many of the currently available, pseudo-RNG devices based on silicon chip technologies that have been shown vulnerable to hackers. Additionally, this device will provide a framework for continuous development and possible online authentication features to compliment the hardware.This Small Business Innovation Research (SBIR) Phase I project will result in development of a prototype device to assess the feasibility of a commercial product. The basis of the innovation is the use of quantum phenomena in optics to create randomness, also known as noise. Quantum mechanics has proven to be the underlying mechanism for noise processes used the world over in encryption of data. In this case, the process of creating noise can be adjusted, oscillated at some frequency, to produce embedded signals overlaid with the random output. This gives the final design applications well beyond encryption. With the rise of high performance computing networks in scientific simulations, health care patient tracking, financial institution accessibility, education, etc., the ability to use the embedding feature to track authentication credentials and perform continuous monitoring of equipment accessing a network becomes paramount to securing networks as well as data. During this project the basic design will be refined with the aim of producing a rescaled, commercial product.

这个小型企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力包括：1）开发新的加密和身份验证技术，以提高网络安全性; 2）减少数据泄露造成的经济损失。 在过去10年中，有充分的文件证明了社会对网络竞技场新技术的更大需求。 随着现代生活的各个方面对计算机的依赖越来越大，社交媒体的使用，大型行业转向高性能（更快）计算网络以及物联网（IoT）时代的到来，网络技术市场预计将以每年高达15%的稳定速度增长。 该项目将创建一个高速，并行和真随机数发生器（TRNG）与信号嵌入能力。 有了光学核心，该设备将具有优于许多目前可用的基于硅芯片技术的伪RNG设备的优势，这些设备已被证明易受黑客攻击。 此外，该设备将提供一个持续发展的框架和可能的在线认证功能，以补充硬件。这个小企业创新研究（SBIR）第一阶段项目将导致开发一个原型设备，以评估商业产品的可行性。 创新的基础是利用光学中的量子现象来创造随机性，也称为噪声。 量子力学已被证明是全世界用于数据加密的噪声过程的基本机制。 在这种情况下，可以调整产生噪声的过程，使其在某个频率下振荡，以产生与随机输出叠加的嵌入信号。 这使得最终的设计应用远远超出了加密。 随着高性能计算网络在科学模拟、医疗保健患者跟踪、金融机构可访问性、教育等方面的兴起，使用嵌入特征来跟踪认证证书并执行对接入网络的设备的连续监视的能力对于保护网络以及数据变得至关重要。 在这个项目中，基本设计将被完善，目的是生产一个重新缩放的商业产品。