Soft Computing Techniques for Dependable Cyber-Physical Systems

Abstract

Cyber-Physical Systems (CPS) allow us to manipulate objects in the physical world by providing a communication bridge between computation and actuation elements. In the current scheme of things, this sought-after control is marred by limitations inherent in the underlying communication network(s) as well as by the uncertainty found in the physical world. These limitations hamper fine-grained control of elements that may be separated by large-scale distances. In this regard, soft computing is an emerging paradigm that can help to overcome the vulnerabilities, and unreliability of CPS by using techniques including fuzzy systems, neural network, evolutionary computation, probabilistic reasoning and rough sets. In this paper, we present a comprehensive contemporary review of soft computing techniques for CPS dependability modeling, analysis, and improvement. This paper provides an overview of CPS applications, explores the foundations of dependability engineering, and highlights the potential role of soft computing techniques for CPS dependability with various case studies, while identifying common pitfalls and future directions. In addition, this paper provides a comprehensive survey on the use of various soft computing techniques for making CPS dependable.

Towards Smart Port Infrastructures: Enhancing Port Activities Using Information and Communications Technology

“…Automated smart port infrastructures and ships open up an attack front that can result in new security risks in the cyberspace of smart ports. It is well known that connected important cyber physical systems with digital technology in the cybersphere comes with great risks [101], [102]. Greater complexity of an automated system demands tighter security, which may be challenging.…”

Theoretical foundations and applications of cyber-physical systems: a literature review

“…Giraldo et al (2017) provided a classification in CPS domains, attacks, defenses, research-trends, network-security, security level implementation and computational strategies. Atif et al (2019) provides an overview of CPS applications, explores the foundations of dependability engineering, and highlights the potential role of soft computing techniques for CPS dependability with various case studies while also identifying common pitfalls and future directions. Roy et al (2018) think that the control and the embedded systems communities have come together to adopt a CPS-oriented design paradigm that integrates the design of control algorithms and platform parameters within a holistic optimization framework and accounts for relevant details from both sides.…”

Towards Human-in-the-Loop Cyber-Physical Systems

“…On the other hand, numerous studies explore domain specific applications, topics or challenges: Industry 4.0-based (smart) manufacturing [19,81,104,125], wireless sensor networks-based structural health monitoring [20], decision support in clinical environments [195], automotive architectures and software [59], power grids [81], virtual power plants [6], soft computing techniques for CPS dependability modeling [12], integration with cloud computing and Internet of Things [29], intersection between Big Data and CPS [215], self-adaptability [129], security needs in cloud-based CPS [167], run-time supporting platforms [200], etc. Some of the works adapt the "CPS" term to emphasize the relevance in domain-specific areas: Cyber-Physical Production Systems [49,125], Cyber-Physical Sensor Systems [19], Vehicular CPS [7,179,208], Health CPS [7], Immersive CPS [212], Human-in-the-loop CPS [49,139,181], Human-CPS [46], Cyber-Physical-Human Systems [196], Cyber-Physical-Social Systems [40], Collaborative CPS [133].…”