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18 November 2021
Special Issue Editor(s)
Gunasekaran Manogaran [Managing Guest Editor,
University of California, Davis, USA
York University, Canada
University of the Faroe Islands, Faroe Islands, Denmark
Security and Privacy in Intelligent and Connected Cyber Physical Systems
Cyber-Physical Systems (CPS) are the new and emerging system of intelligence that converges state-of-the-art computer and communication technologies across various physical domains. To be more specific, CPS are engineered systems that integrate computational, communication, and physical resources. Simultaneously, the embedded computational algorithms and networks possess the potential to monitor and control the physical components. To effectively achieve this objective, it makes use of synergy of machines, sensor devices, various communication mechanisms, and embedded computational intelligence. This indicates that CPS constitutes the potential to operate autonomously based on their physical surroundings. On the other hand, the advancements in intelligence technologies and communication paradigms further create the demand for more connected and intelligent CPS applications that efficiently interact with surrounding environments and make intelligent decisions. Some of the considerable examples include driverless cars, smart appliances, and healthcare applications. They are often increasingly used across various mission-critical applications (energy, military, etc.) to promote sustainability. They effectively detect the changing system conditions and make personalized decisions with reduced delay.
In the future, it will find extensive applications across almost every industrial sector. Thus it plays a prominent role in achieving the objectives of industry 4.0. As the CPS applications continue to become more integrated towards our day-to-day lives, the security and privacy concerns associated with them may continue to grow tremendously. This is more specifically applicable to safety-critical applications, where the failure of the CPS can cause irreparable harm to the physical systems. In particular, critical infrastructure applications such as intelligent transportation systems, electric power distribution, and military applications transmit the most valuable information across the CPS system, and a security compromise of even a single terabyte of data could lead to large economic losses for the country. Furthermore, we are just at the starting point of the CPS research, and with industrial and technological advancements, we have a long way to go, and that will typically introduce numerous security and privacy concerns. Hence, finding more advanced security and privacy solutions for CPS has become inevitable.
The purpose of this special issue is to provide a detailed view of the emerging field of CPS security. Relatively new, novel, and unpublished security concerns that focus on intelligent CPS applications are most welcomed.
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The topics of interest for the special issue include, but not limited to, the following:
- Trends in cybersecurity paradigms for intelligent and connected CPS
- Trust and privacy management in CPS
- Enhancing the privacy and security of critical CPS applications with blockchain technology
- Distributed machine learning for safe and secure management of CPS applications
- Enhancing trusted and verifiable computation in CPS applications
- Secure and reliable networking technologies to enable CPS
- M2M CPS digital forensic
- Lightweight security and access control protocols for CPS
- Trustworthy data collection and processing algorithms for CPS
- Secure and resilient CPS with artificial intelligence and machine learning algorithms
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