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量子时代的网络物理防御。

Cyber-physical defense in the quantum Era.

作者信息

Barbeau Michel, Garcia-Alfaro Joaquin

机构信息

School of Computer Science, Carleton University, Ottawa, Canada.

Télécom SudParis, Institut Polytechnique de Paris, Palaiseau, France.

出版信息

Sci Rep. 2022 Feb 3;12(1):1905. doi: 10.1038/s41598-022-05690-1.

Abstract

Networked-Control Systems (NCSs), a type of cyber-physical systems, consist of tightly integrated computing, communication and control technologies. While being very flexible environments, they are vulnerable to computing and networking attacks. Recent NCSs hacking incidents had major impact. They call for more research on cyber-physical security. Fears about the use of quantum computing to break current cryptosystems make matters worse. While the quantum threat motivated the creation of new disciplines to handle the issue, such as post-quantum cryptography, other fields have overlooked the existence of quantum-enabled adversaries. This is the case of cyber-physical defense research, a distinct but complementary discipline to cyber-physical protection. Cyber-physical defense refers to the capability to detect and react in response to cyber-physical attacks. Concretely, it involves the integration of mechanisms to identify adverse events and prepare response plans, during and after incidents occur. In this paper, we assume that the eventually available quantum computer will provide an advantage to adversaries against defenders, unless they also adopt this technology. We envision the necessity for a paradigm shift, where an increase of adversarial resources because of quantum supremacy does not translate into a higher likelihood of disruptions. Consistently with current system design practices in other areas, such as the use of artificial intelligence for the reinforcement of attack detection tools, we outline a vision for next generation cyber-physical defense layers leveraging ideas from quantum computing and machine learning. Through an example, we show that defenders of NCSs can learn and improve their strategies to anticipate and recover from attacks.

摘要

网络控制系统(NCS)作为一种信息物理系统,由紧密集成的计算、通信和控制技术组成。虽然它们是非常灵活的环境,但容易受到计算和网络攻击。近期的NCS黑客事件产生了重大影响。这就需要对信息物理安全进行更多研究。对使用量子计算破解当前密码系统的担忧使情况变得更糟。虽然量子威胁促使创建了新的学科来处理这一问题,如后量子密码学,但其他领域却忽视了具备量子能力的对手的存在。信息物理防御研究就是这种情况,它是与信息物理保护不同但互补的学科。信息物理防御是指检测并应对信息物理攻击的能力。具体而言,它涉及在事件发生期间和之后整合识别不良事件和制定应对计划的机制。在本文中,我们假设最终可用的量子计算机将使对手相对于防御者具有优势,除非防御者也采用这项技术。我们设想有必要进行范式转变,即由于量子霸权导致的对手资源增加不会转化为更高的破坏可能性。与其他领域当前的系统设计实践一致,例如使用人工智能来强化攻击检测工具,我们概述了利用量子计算和机器学习的理念构建下一代信息物理防御层的愿景。通过一个例子,我们表明NCS的防御者可以学习并改进他们的策略,以预测攻击并从攻击中恢复。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94c3/8814167/c7fe74e359d4/41598_2022_5690_Fig1_HTML.jpg

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