Simulation-Based Cyber-Physical Systems and Internet-of-Things

Li, Bo Hu; Zhang, Lin; Li, Tan; Lin, Ting; Cui, Jin

doi:10.1007/978-3-319-61264-5_5

Cited by 6 publications

(3 citation statements)

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“…Simulation, being model-based, provides many advantages of experimentation and gaining experience for them as well as engineering. A recent reference [13] has valuable chapters on simulation-based engineering [14] simulation-based systems engineering [15], simulationbased Cyber-Physical Systems [16], Simulation-based Software Engineering [8], and simulation-based military training [17]. The exponential increase of simulation studies in social systems is also very promising in simulation-based social systems engineering [18].…”

Section: Discussionmentioning

confidence: 99%

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2018

COJEC

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Section: Discussionmentioning

confidence: 99%

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2018

COJEC

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“…Through this lens, the subsequent sections will unfold the multifaceted influences of CPS, articulating both the potential benefits and risks to economic security, while offering a balanced perspective that combines empirical evidence with theoretical analysis [10].…”

Section: Introductionmentioning

confidence: 99%

Cyber-Physical Systems as a New Frontier for Economic Security: The Impact of Advanced Data Capturing and Networking Technology on National Economies

Saydullaev

2024

IJMMU

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This study investigates the burgeoning interface between cyber-physical systems (CPS) and economic security, a vital yet underexplored domain. With the advent of sophisticated data capturing and networking technology, the paradigm within which national economies operate is shifting. This research delineates the ramifications of such technologies on economic stability, employment trends, and national gross domestic product (GDP), alongside the emergent cybersecurity implications. The methodology encompasses a cross-sectional analysis of various economies that have adopted CPS at differing scales and capacities. Through quantitative data, the study reveals trends and patterns in economic performance metrics post-adoption of advanced data capturing and networking infrastructures. Complementarily, qualitative assessments from expert interviews offer insights into the broader economic and security implications. Preliminary findings suggest that the integration of CPS correlates with a multifaceted impact on economic security, including the creation of new industries and the obsolescence of traditional sectors. A notable rise in efficiency and productivity across industries utilizing CPS is counterbalanced by the challenges of increased cybersecurity threats and job market disruptions. The study contributes to the discourse on economic security by framing CPS adoption not just as a technological upgrade but as a critical economic event with widespread and significant consequences.

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“…An alternative is to use a virtual environment model that can simulate how the CPS controller interacts with the real environment, and repeat the simulation many times to statistically verify the goals. This simulation-based approach can significantly reduce the cost of the CPS goal verification compared to using FOTs [26,28].…”

Section: Introductionmentioning

confidence: 99%

Virtual Environment Model Generation for CPS Goal Verification using Imitation Learning

Shin,

Bae

2024

ACM Trans. Embed. Comput. Syst.

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Cyber-Physical Systems (CPS) continuously interact with their physical environments through embedded software controllers that observe the environments and determine actions. Field Operational Tests (FOT) are essential to verify to what extent the CPS under analysis can achieve certain CPS goals, such as satisfying the safety and performance requirements, while interacting with the real operational environment. However, performing many FOTs to obtain statistically significant verification results is challenging due to its high cost and risk in practice. Simulation-based verification can be an alternative to address the challenge, but it still requires an accurate virtual environment model that can replace the real environment interacting with the CPS in a closed loop. In this paper, we propose ENVI (ENVironment Imitation), a novel approach to automatically generate an accurate virtual environment model, enabling efficient and accurate simulation-based CPS goal verification in practice.To do this, we first formally define the problem of the virtual environment model generation and solve it by leveraging Imitation Learning (IL), which has been actively studied in machine learning to learn complex behaviors from expert demonstrations. The key idea behind the model generation is to leverage IL for training a model that imitates the interactions between the CPS controller and its real environment as recorded in (possibly very small) FOT logs. We then statistically verify the goal achievement of the CPS by simulating it with the generated model. We empirically evaluate ENVI by applying it to the verification of two popular autonomous driving assistant systems. The results show that ENVI can reduce the cost of CPS goal verification while maintaining its accuracy by generating accurate environment models from only a few FOT logs. The use of IL in virtual environment model generation opens new research directions, further discussed at the end of the paper.

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Simulation-Based Cyber-Physical Systems and Internet-of-Things

Cited by 6 publications

References 20 publications

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Cyber-Physical Systems as a New Frontier for Economic Security: The Impact of Advanced Data Capturing and Networking Technology on National Economies

Virtual Environment Model Generation for CPS Goal Verification using Imitation Learning

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