Towards intelligent transportation Cyber-Physical Systems: Real-time computing and communications perspectives

Rawat, Danda B.; Bajracharya, Chandra; Yan, Gongjun

doi:10.1109/secon.2015.7132923

Cited by 41 publications

(24 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other researchers have preferred to propose the development of new models based on existing architectures for CPS, in particular RAMI 4.0, IIRA and 5C [Hansch et al, 2019a, Hansch et al, 2019b, Sharpe et al, 2019, Ma et al, 2017, Moghaddam et al, 2018, Baloyi and Kotzé, 2018, Ahmadi et al, 2018. Finally, another group of researchers has attempted to develop partial proposals for SRA without taking existing architectures into account [Craggs et al, 2019, Romero and Fernandez, 2017, Koziolek et al, 2018, Koziolek et al, 2020, ur Rehman et al, 2018.…”

Section: Related Workmentioning

confidence: 99%

“…The research related to CPS has recently drawn the attention of academia, industry, and governments owing yo their great impact on society, economy, and the environment [Monostori et al, 2016, Monostori, 2014. These highly interconnected and integrated systems provide new functionalities with which to improve the quality of life and allow technological advances in critical areas, such as personalized health care [Suh et al, 2014, Haque et al, 2014, Liu et al, 2018, emergency response [Zander et al, 2015], traffic flow management [Rawat et al, 2015, Xiong et al, 2015, Mihalache et al, 2019, intelligent [Frazzon et al, 2013, Lee et al, 2013, Wang et al, 2015 defense and national security [Rajkumar et al, 2010, Das et al, 2012, and energy supply [Yu and Xue, 2016, Moness and Moustafa, 2016, Cheng et al, 2019.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Security Reference Architecture for Cyber-Physical Systems (CPS)

Moreno¹,

Rosado²,

Sánchez³

et al. 2021

jucs

View full text Add to dashboard Cite

Cyber-physical systems (CPS) are the next generation of engineered systems into which computing, communication, and control technologies are now being closely integrated. They play an increasingly important role in critical infrastructures, governments and everyday life. Security is crucial in CPS, but they were not, unfortunately, initially conceived as a secure environment, and if these security issues are to be incorporated, then security must be considered from the very beginning of the system design. One way in which to solve this problem is by having a global perspective, which can be achieved by employing a Reference Architecture (RA), since it is a high-level abstraction of a system that could be useful in the implementation of complex systems. It is widely accepted that adding elements in order to address many security factors (integrity, confidentiality, availability, etc.) and facilitate the definition of the security requirements of a Security Reference Architecture (SRA) is a good starting point when attempting to solve these kinds of cybersecurity problems and protect the system from the beginning of the development. An SRA makes it possible to define the key elements of a specific environment, thus allowing a better understanding of the inherent elements of the environments, while promoting the integration of security aspects and mechanisms. The present paper, therefore, presents the definition of an SRA for CPS by using UML models in an attempt to facilitate secure CPS implementations.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Security Reference Architecture for Cyber-Physical Systems (CPS)

Moreno¹,

Rosado²,

Sánchez³

et al. 2021

jucs

View full text Add to dashboard Cite

show abstract

“…They are advanced city management system, advanced navigation system, advanced vehicle control system, business vehicle management, advanced public transportation system, and advanced urban transportation system [68] . The intelligent traffic management also includes ETC, which ensures vehicles to pass road and bridge toll stations at normal speed for reducing the probability of congestion [69][70][71] . In view of computing resources and storage resources caused by large-scale mobile users, a novel urban traffic management system is proposed for solving the problem of insufficient computing and storage resources based on intelligent transportation cloud [72] .…”

Section: Closed Servicesmentioning

confidence: 99%

Architecture and key technologies for Internet of Vehicles: a survey

Yang

Lei

et al. 2017

J. Commun. Inf. Netw.

114

View full text Add to dashboard Cite

In recent years, IoV (Internet of Vehicles) has become one of the most active research fields in network and intelligent transportation system. As an open converged network, IoV plays an important role in solving various driving and traffic problems by advanced information and communications technology. We review the existing notions of IoV from different perspectives. Then, we provide our notion from a network point of view and propose a novel IoV architecture with four layers. Particularly, a novel layer named coordinative computing control layer is separated from the application layer. The novel layer is used for solving the coordinative computing and control problems for human-vehicle-environment. After summarizing the key technologies in IoV architecture, we construct a VV (Virtual Vehicle), which is an integrated image of driver and vehicle in networks. VVs can interact with each other in cyber space by providing traffic service and sharing sensing data coordinately, which can solve the communication bottleneck in physical space. Finally, an extended IoV architecture based on VVs is proposed.

show abstract

“…Wireless data transmissions between vehicles are provided by vehicle to vehicle (V2V) technology. The goals of V2V communication are to prevent traffic accidents and to reduce congestion by allowing vehicles to transmit and receive data through a vehicular ad hoc network on their speed and position [1–3]. In an event of an accident risk, the vehicle can take preventive actions by itself, e.g.…”

Section: Introductionmentioning

confidence: 99%