Reconfigurable Digital Twin to Support Research, Education, and Training in the Defense of Critical Infrastructure

Mathur, Aditya P.

doi:10.1109/msec.2023.3281272

Cited by 3 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As shown, the infrastructure contains four key modules: (i) data feed and validation, (ii) threat lookup, (iii) logging, and (iv) plant visualizer. The operation of each module is coordinated by a reconfigurable digital twin [19] that allows the plant management to create and configure new modules or reconfigure the existing modules based on their requirements. The primary goal of the twin is to provide operators with an easy-to-use interface for managing the operation of multiple modules through an interactive graphical user interface.…”

Section: Fusion Detector: Architecture and Building Blocksmentioning

confidence: 99%

Fusing Design and Machine Learning for Anomaly Detection in Water Treatment Plants

Raman,

Mathur

2024

Electronics

View full text Add to dashboard Cite

Accurate detection of process anomalies is crucial for maintaining reliable operations in critical infrastructures such as water treatment plants. Traditional methods for creating anomaly detection systems in these facilities typically focus on either design-based strategies, which encompass physical and engineering aspects, or on data-driven models that utilize machine learning to interpret complex data patterns. Challenges in creating these detectors arise from factors such as dynamic operating conditions, lack of design knowledge, and the complex interdependencies among heterogeneous components. This paper proposes a novel fusion detector that combines the strengths of both design-based and machine learning approaches for accurate detection of process anomalies. The proposed methodology was implemented in an operational secure water treatment (SWaT) testbed, and its performance evaluated during the Critical Infrastructure Security Showdown (CISS) 2022 event. A comparative analysis against four commercially available anomaly detection systems that participated in the CISS 2022 event revealed that our fusion detector successfully detected 19 out of 22 attacks, demonstrating high accuracy with a low rate of false positives.

show abstract

Section: Fusion Detector: Architecture and Building Blocksmentioning

confidence: 99%

Fusing Design and Machine Learning for Anomaly Detection in Water Treatment Plants

Raman,

Mathur

2024

Electronics

View full text Add to dashboard Cite

show abstract

“…However, compared with developed countries in Europe and the United States, there is still a large gap [7]. Facing the challenges brought by new development trends and demands, universities should consider their status quo while focusing on the global vision and find the most suitable development direction and construction focus from their actual situation [8][9].…”

Section: Introductionmentioning

confidence: 99%

Digital Twin Technology Drives Innovation in Higher Education Management Mechanisms

Long

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

With the rapid advancement of information technology, the integration of digital twin technology into the higher education management framework has emerged as a critical challenge. This paper introduces an innovative mechanism leveraging digital twin technology to address key issues in higher education management. The mechanism incorporates a novel evaluation method that utilizes the benefits of fuzzy comprehensive evaluation over gray clustering to design the steps for fuzzy gray clustering. Subsequently, this study has successfully developed a higher education management evaluation model. M school has been chosen as the empirical study site to test the model concurrently. The findings indicate that in assessing the quality of higher education management, the distribution of weights across four primary indicators are as follows: evaluation and feedback (25.853%), teaching organization and design (25.125%), teaching content (24.873%), and teaching ability (24.149%). Notably, teaching organization, design, evaluation, and feedback collectively account for over 50% of the overall weights. Moreover, the implementation of digital twin technology resulted in a significant alteration in 70% of participant grades, with an observed increase in the proportions of A and B grades and a decrease in C and D grades.

show abstract

Enhancing Cybersecurity Training Efficacy: A Comprehensive Analysis of Gamified Learning, Behavioral Strategies and Digital Twins

Yigit,

Kioskli,

Bishop

et al. 2024

2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

View full text Add to dashboard Cite

Reconfigurable Digital Twin to Support Research, Education, and Training in the Defense of Critical Infrastructure

Cited by 3 publications

References 7 publications

Fusing Design and Machine Learning for Anomaly Detection in Water Treatment Plants

Fusing Design and Machine Learning for Anomaly Detection in Water Treatment Plants

Digital Twin Technology Drives Innovation in Higher Education Management Mechanisms

Enhancing Cybersecurity Training Efficacy: A Comprehensive Analysis of Gamified Learning, Behavioral Strategies and Digital Twins

Contact Info

Product

Resources

About