2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) 2018

DOI: 10.1109/waina.2018.00139

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Privacy Risks in Resource Constrained Smart Micro-Grids

Pacome L. Ambassa

¹

,

Anne V. D. M. Kayem

²

,

Stephen D. Wolthusen

³

et al.

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Differential Privacy Techniques for Cyber Physical Systems: A Survey

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2020

IEEE Commun. Surv. Tutorials

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No abstract

Differential Privacy Techniques for Cyber Physical Systems: A Survey

¹

,

²

,

³

2020

IEEE Commun. Surv. Tutorials

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No abstract

Differential Privacy Techniques-Based Information Security for Cyber Physical System Applications

et al. 2022

Real-Time Applications of Machine Learning in Cyber-Physical Systems

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A cyber physical system (CPS) is a mechanism that monitors and controls entire devices which are connected together. Secured data transmission in CPS systems is a major problem. To provide information security for CPS applications, certain privacy preservation strategies need to be followed. Encryption and anonymization are existing traditional privacy preservation techniques which are not suitable to provide information security for advanced systems called CPS. Differential techniques is an emerging privacy technique where a required amount of noise is added using various mathematical algorithms with data while sharing information between devices in CPSs. The process of adding noise with data is called data perturbation. There are three major data perturbations mechanisms followed to provide information security. They are exponential mechanism, Laplace mechanism, and Gaussian mechanism. This chapter presents a detailed review about applications of CPSs, significance of implementing differential privacy techniques, challenges, and future research directions of CPSs.

Differential Privacy Techniques for Cyber Physical Systems: A Survey

¹

,

²

,

³

2018

Preprint

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No abstract

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