Suppr超能文献

多维信息加密与存储:以光为输入时

Multidimensional Information Encryption and Storage: When the Input Is Light.

作者信息

Liu Senyang, Liu Xiaohu, Yuan Jinying, Bao Jie

机构信息

Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.

Key Laboratory of Organic Optoelectronics & Molecular Engineering, Department of Chemistry, Tsinghua University, Beijing 100084, China.

出版信息

Research (Wash D C). 2021 Jan 9;2021:7897849. doi: 10.34133/2021/7897849. eCollection 2021.

Abstract

The issue of information security is closely related to every aspect of daily life. For pursuing a higher level of security, much effort has been continuously invested in the development of information security technologies based on encryption and storage. Current approaches using single-dimension information can be easily cracked and imitated due to the lack of sufficient security. Multidimensional information encryption and storage are an effective way to increase the security level and can protect it from counterfeiting and illegal decryption. Since light has rich dimensions (wavelength, duration, phase, polarization, depth, and power) and synergy between different dimensions, light as the input is one of the promising candidates for improving the level of information security. In this review, based on six different dimensional features of the input light, we mainly summarize the implementation methods of multidimensional information encryption and storage including material preparation and response mechanisms. In addition, the challenges and future prospects of these information security systems are discussed.

摘要

信息安全问题与日常生活的方方面面密切相关。为了追求更高水平的安全性,人们在基于加密和存储的信息安全技术开发方面持续投入了大量精力。由于缺乏足够的安全性,当前使用单维信息的方法很容易被破解和模仿。多维信息加密和存储是提高安全级别的有效方法,可以保护其免受伪造和非法解密。由于光具有丰富的维度(波长、持续时间、相位、偏振、深度和功率)以及不同维度之间的协同作用,将光作为输入是提高信息安全水平的有前景的候选方案之一。在本综述中,基于输入光的六个不同维度特征,我们主要总结了多维信息加密和存储的实现方法,包括材料制备和响应机制。此外,还讨论了这些信息安全系统面临的挑战和未来前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66a0/7877379/bfdbf05ebe3a/RESEARCH2021-7897849.001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验