Article
Computer Science, Artificial Intelligence
Saideep Nannapaneni, Sankaran Mahadevan, Abhishek Dubey, Yung-Tsun Tina Lee
Summary: This paper discusses the application of a predictive control framework in cyber-physical manufacturing processes, real-time monitoring of manufacturing process performance, and implementation of control to improve product quality. It also explores the impact of uncertainty sources on product quality predictions and how estimation and robust prediction can be achieved using a dynamic Bayesian network approach.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Computer Science, Information Systems
Xiang Ma, Laila Almutairi, Ahmed M. M. Alwakeel, Mohammed Hameed Alhameed
Summary: This paper proposes a model based on a Hierarchical Bayesian Network (HBN) to enhance the attack detection ability of Cyber Physical Systems (CPS) due to its connectivity and heterogeneity. The model effectively detects Denial of Service (DoS) attacks and improves the detection process by optimizing and enhancing the standard Bayesian network model.
JOURNAL OF GRID COMPUTING
(2023)
Article
Computer Science, Information Systems
Rupa Ch, Gautam Srivastava, Yarajarla Lakshmi Venkata Nagasree, Akshitha Ponugumati, Sitharthan Ramachandran
Summary: With the increasing demand for smart, secure, and intelligent solutions, Industry 4.0 has emerged as the future of various applications. The healthcare sector, being one of the primary sectors, is becoming more vulnerable to security attacks such as ransomware. In order to address this issue, researchers have proposed a method of building a real-time diagnosis device using a cyber-physical system with blockchain technology. The main objective of this work is to create a secure, real-time preservation, and tamper-proof control system for medical data. By utilizing the Bayesian grey filter-based convolution neural network (BGF-CNN) approach, the system aims to improve accuracy, reduce time complexity, and overhead. Additionally, PSO and GWO optimization techniques are used to enhance network performance. As a result, the proposed system, based on a blockchain-based cyber-physical system using a deep neural network (BGF Blockchain), improves privacy preservation of medical data with high accuracy.
Article
Engineering, Aerospace
Zhijun Wu, Ruochen Dong, Peng Wang
Summary: This paper investigates the offensive and defensive game process of the air traffic management cyber physical system and constructs a dynamic Bayesian game model. The analysis shows that the model can help the system defender quickly obtain an equilibrium strategy, thereby reducing the system's loss.
Article
Engineering, Multidisciplinary
Youyang Qu, Shui Yu, Wanlei Zhou, Shiping Chen, Jun Wu
Summary: Privacy leakage is a growing concern due to the massive volumes of data shared in networks, with differential privacy as a dominant method. Customizable privacy protection based on differential privacy may trigger the composition mechanism, leading to data leakage and weakening privacy protection. To address this, a customizable reliable differential privacy model (CRDP) is proposed to provide individualized protection while remaining resistant to attacks, optimizing the tradeoff between privacy preservation and data utility.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Automation & Control Systems
Guoqiong Liao, Xiaomei Huang, Naixue Xiong, Changxuan Wan, Mingsong Mao
Summary: This paper proposes an attention-based context-aware group event recommendation model (ACGER) for EICPSs, which can flexibly adapt to events concerned by groups and outperforms existing models in experiments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Chemistry, Analytical
Joseph M. Lukens, Ali Passian, Srikanth Yoginath, Kody J. H. Law, Joel A. Dawson
Summary: Cyber-physical system security presents unique challenges to conventional measurement science and technology. Bayesian inference is proposed as a method for anomaly detection in such systems, with the ability to produce detections with a small number of input data points and quantify uncertainty.
Article
Engineering, Multidisciplinary
Hassam Mughal, Muhammad Bilal, Uttam Ghosh, Gautam Srivastava, Sayed Chhattan Shah
Summary: Mobile ad hoc cloud (MAC) is a critical technology for realizing mobile cyber-physical-social systems. Resource allocation plays a vital role in MAC for system and application performance. This study proposes a new resource allocation scheme that uses multiple wireless communication technologies (WCTs) and considers link lifetime. A Markov chain-based link lifetime prediction mechanism is also proposed.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Information Systems
Zainab Noor, Sadaf Hina, Faisal Hayat, Ghalib A. Shah
Summary: The Internet of Things has connected smart cities, businesses, workplaces, and residences. However, the increasing number of devices in smart homes has raised concerns about cybersecurity risks. This study presents a smart home network testbed setup to evaluate and validate the security of the cyber-physical system.
INTERNET OF THINGS
(2023)
Article
Computer Science, Interdisciplinary Applications
Hermes Loschi, Douglas Nascimento, Robert Smolenski, Piotr Lezynski
Summary: This paper proposes a cyber-physical system based on the NI-PXI platform for fast-prototyping and EMC assessment of low-voltage DC grid in smart industrial systems. The labVIEW-based design and the EMC-testbench system validation were performed with a DC/DC converter using pulse-width modulation control algorithms. The interferences between the converter and Power Line Communication were also investigated in a case study.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2023)
Article
Engineering, Electrical & Electronic
Yiwei Zhang, Tianlun Jiang, Qingxin Shi, Wenxia Liu, Shaofeng Huang
Summary: This study investigates the vulnerability characteristics and interdependence model of smart grids as a typical cyber physical system, proposing a CPS cascading failure analysis model. The research demonstrates that the structural and functional coupling of power and communication systems have a significant impact on the vulnerability of CPS.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Computer Science, Information Systems
Lunyuan Chen, Shunpu Tang, Venki Balasubramanian, Junjuan Xia, Fasheng Zhou, Lisheng Fan
Summary: This paper studies secure mobile edge computing for emerging cyber physical systems. It proposes a method using deep reinforcement learning and convex optimization to optimize system performance by designing computation offloading ratio, transmit power, and computational capability allocation. Simulation results show that the proposed method outperforms other conventional methods and provides guaranteed secrecy and latency.
COMPUTER COMMUNICATIONS
(2022)
Review
Engineering, Electrical & Electronic
Shu Shen, Cai-Xia Lv, Hao Zhu, Li-Juan Sun, Ru-Chuan Wang
Summary: This paper discusses the important role and development of bicycle sharing in smart cities, explores its potential in urban communication and emergency networks, and proposes the feasibility of some interesting cases.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
K. L. Keung, C. K. M. Lee, Liqiao Xia, Chao Liu, Bufan Liu, P. Ji
Summary: This paper develops a cyber-physical robotic mobile fulfillment system (CPRMFS) for tool storage in smart manufacturing. By utilizing decentralized multi-robot path planning and spatial-temporal graph convolutional network (ST-GNN), the system enables Just-in-Time material transfer during manufacturing. The research demonstrates that ST-GNN, combined with enhanced conflict-based search, achieves higher accuracy with an average value of 90% under different scenarios.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2023)
Review
Computer Science, Interdisciplinary Applications
Silvia Colabianchi, Francesco Costantino, Giulio Di Gravio, Fabio Nonino, Riccardo Patriarca
Summary: Cyber-physical systems (CPSs) are becoming increasingly integrated into everyday life and the need for their resilience under various threats is growing. This study reviews over 500 documents to understand to what extent CPSs contribute to system resilience and synthesizes the approaches developed in this domain. The survey categorizes main models and methods based on hazards of interest and effects on security, privacy, safety, and business continuity, highlighting a trend towards more systemic representations of system threats and modern investigation approaches.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
