Modern cyber physical systems (CPSs) has widely being used in our daily lives because of development of information and communication technologies (ICT). With the provision of CPSs, the security and privacy threats associated to these systems are also increasing. Passive attacks are being used by intruders to get access to private information of CPSs. In order to make CPSs data more secure, certain privacy preservation strategies such as encryption, and k-anonymity have been presented in the past. However, with the advances in CPSs architecture, these techniques also need certain modifications. Meanwhile, differential privacy emerged as an efficient technique to protect CPSs data privacy. In this paper, we present a comprehensive survey of differential privacy techniques for CPSs. In particular, we survey the application and implementation of differential privacy in four major applications of CPSs named as energy systems, transportation systems, healthcare and medical systems, and industrial Internet of things (IIoT). Furthermore, we present open issues, challenges, and future research direction for differential privacy techniques for CPSs. This survey can serve as basis for the development of modern differential privacy techniques to address various problems and data privacy scenarios of CPSs.

中文翻译：

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网络物理系统的差分隐私技术：一项调查

由于信息和通信技术 (ICT) 的发展，现代网络物理系统 (CPS) 已广泛应用于我们的日常生活中。随着 CPS 的提供，与这些系统相关的安全和隐私威胁也在增加。入侵者正在使用被动攻击来获取 CPS 的私人信息。为了使 CPS 数据更加安全，过去已经提出了某些隐私保护策略，例如加密和 k-匿名。但是，随着 CPS 架构的进步，这些技术也需要进行一定的修改。同时，差分隐私成为保护 CPS 数据隐私的有效技术。在本文中，我们对 CPS 的差分隐私技术进行了全面调查。特别是，我们调查了差分隐私在能源系统、交通系统、医疗保健系统和工业物联网 (IIoT) 四大 CPS 应用中的应用和实施情况。此外，我们提出了 CPS 差分隐私技术的开放性问题、挑战和未来研究方向。该调查可以作为现代差分隐私技术发展的基础，以解决 CPS 的各种问题和数据隐私场景。