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Self-Manageable System Architecture Design for Distributed intelligent automation 29

Self-Manageable System Architecture Design for Distributed I...

引用

29th ieee international conference on Emerging Technologies and Factory automation, ETFA 2024

作者： Lyu, Guolin Brennan, Robert W. Schulich School of Engineering University of Calgary Calgary Canada

ISBN: (纸本)9798350361230

A major challenge of extant industrial systems designed under traditional engineering techniques and running on legacy automation platforms is that these systems are unable to automatically discover alternative solutions, flexibly coordinate reconfigurable modules, and actively deploy corresponding functions, to quickly respond to frequently changes and intelligently adapt to evolving requirements in dynamic environments. This paper extends our research on the design of industrial cyber-physical systems to introduce a multi-layer self-manageable system architecture for IEC 61499 based distributed intelligent automation. The proposed architecture is designed to enable system-level run-time intelligence in the cloud and device-level real-time adaptation at the edge by integrating multi-agent modelling and IEC 61499 function block modelling. The proposed architecture is demonstrated and evaluated through various simulation tests on the agent-based simulation model of an automated conveyor system. The results show the ability of the proposed architecture to adapt the system autonomously to respond to frequent changes and evolving requirements typical of modern industrial environments in Industry 4.0. © 2024 ieee.

关键词： Multi agent systems

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Hierarchical Search-Based Cooperative Motion Planning

Hierarchical Search-Based Cooperative Motion Planning

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2024 international conference on intelligent Robots and systems

作者： Wu, Yuchen Yang, Yifan Xu, Gang Cao, Junjie Chen, Yansong Wen, Licheng Liu, Yong Zhejiang Univ Inst Cyber Syst & Control Hangzhou 310027 Peoples R China Zhejiang Univ Polytech Inst Hangzhou 310015 Peoples R China Shanghai AI Lab Shanghai 200232 Peoples R China

ISBN: (纸本)9798350377712;9798350377705

Cooperative path planning, a crucial aspect of multi-agent systems research, serves a variety of sectors, including military, agriculture, and industry. Many existing algorithms, however, come with certain limitations, such as simplified kinematic models and inadequate support for multiple group scenarios. Focusing on the planning problem associated with a nonholonomic Ackermann model for Unmanned Ground Vehicles (UGV), we propose a leaderless, hierarchical Search-Based Cooperative Motion Planning (SCMP) method. The highlevel utilizes a binary conflict search tree to minimize runtime, while the low-level fabricates kinematically feasible, collision-free paths that are shape-constrained. Our algorithm can adapt to scenarios featuring multiple groups with different shapes, outlier agents, and elaborate obstacles. We conduct algorithm comparisons, performance testing, simulation, and real-world testing, verifying the effectiveness and applicability of our algorithm. The implementation of our method will be open-sourced at https://***/WYCUniverStar/SCMP.

关键词： Multi agent systems

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Emerging cybersecurity Attacks in the Era of Digital Transformation 7

Emerging Cybersecurity Attacks in the Era of Digital Transfo...

引用

7th international conference on intelligent Computing and control systems, ICICCS 2023

作者： Mishra, Sweta Gochhait, Saikat Symbiosis Institute of Digital and Telecom Management Constituent of Symbiosis International University/Neurosciences Research Institute: Samara State Medical UniversityRussia Pune India

ISBN: (纸本)9798350397253

The rapid digital transformation across industries, including manufacturing, has created significant blind spots for organizations when it comes to security. The threat surface grows as businesses engage more in automation, scale their operations, and integrate IoT, and many security teams struggle to stay up. However, in the age of digitalization, the emphasis must move from protecting network perimeters to protecting data that is dispersed across systems, devices, and the cloud. Organizations must maintain a strong asset management process, be resilient to cyber risks, and generate business value by being ahead of the curve when it comes to managing cyber threats. © 2023 ieee.

关键词： cybersecurity

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cyber Attack Detection in Smart Grid Architecture to Prevent Protection Maloperation 4

Cyber Attack Detection in Smart Grid Architecture to Prevent...

引用

4th ieee international conference on Sustainable Energy and Future Electric Transportation, SEFET 2024

作者： Dewangan, Fanidhar Prasad, Chinta Durga Ray, Papia Biswal, Monalisa National Institute of Technology Department of Electrical Engineering Raipur India

ISBN: (纸本)9798350383997

The involvement of modern devices and communication systems in power systems is anticipated to offer enhanced operational reliability and availability. In a smart power architecture, the communication medium is the main source of cyberattacks. Once the network is open, the possibility of intruding into the system components to access, modify, and destroy sensitive information will increase. Modern substations are facilitated by intelligent measurement, control, and protection devices, which have to communicate with remote end components to take necessary decisions. Under such a condition, the possibilities of cyberattack are more. Among all the line protections, differential protection necessitates the communication facilities to communicate with the remote end relay for decision making. Under such a condition, the possibility of attacks on such types of relays is more. Therefore, detection of the attack and securing the decision from the attack is essential. In this work, a detection logic is developed using the predicted signal to discriminate the actual events and cyber-attacks. © 2024 ieee.

关键词： cyber attacks

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Towards Automating Model-Based systems Engineering in Industry - An Experience Report 18

Towards Automating Model-Based Systems Engineering in Indust...

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18th Annual ieee international systems conference (SysCon)

作者： Cederbladh, Johan Berardinelli, Luca Bruneliere, Hugo Cicchetti, Antonio Dehghani, MohammadHadi Di Sipio, Claudio Miranda, James Rahimi, Abbas Rubei, Riccardo Suryadevara, Jagadish Malardalen Univ Vasteras Sweden Volvo Construct Equipment Eskilstuna Sweden Johannes Kepler Univ Linz Linz Austria IMT Atlantique LS2N CNRS Nantes France Univ Aquila Laquila Italy

ISBN: (纸本)9798350358810;9798350358803

Designing modern cyber-Physical systems (CPSs) is posing new challenges to both industrial practitioners and academics. In this context, adopting cutting-edge paradigms, such as Model-Based systems Engineering (MBSE), DevOps, and Artificial Intelligence (AI), can offer new opportunities for improving CPS design automation. While such paradigms are already jointly used in the research community to support system design activities, there is a need to fill the gap between academia and industrial practitioners. Indeed, system specification is still mainly performed manually in many industrial projects. In this paper, we present a collaboration between industrial and academic partners of the AIDOaRt European project towards a model-based approach for CPS engineering applied in one of the project use cases. We identify key challenges and corresponding solutions to enhance the automation of CPS design processes. Notably, we consider a combination of prescriptive modeling, model transformations, model views, modeling process mining, and AI-based modeling recommendations. As an initial evaluation, the proposed approach is applied to a practical industrial case study.

关键词： Model-Based systems Engineering Artificial Intelligence DevOps cyber-Physical systems

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Preserving Relative Localization of FoV-Limited Drone Swarm via Active Mutual Observation

Preserving Relative Localization of FoV-Limited Drone Swarm ...

引用

2024 international conference on intelligent Robots and systems

作者： Guo, Lianjie Gong, Zaitian Xu, Ziyi Wang, Yingjian Zhou, Xin Zhou, Jinni Gao, Fei Zhejiang Univ Coll Control Sci & Engn Inst Cyber Syst & Control Hangzhou 310027 Peoples R China Zhejiang Univ Huzhou Inst Huzhou 313000 Peoples R China Hong Kong Univ Sci & Technol GZ Hong Kong Peoples R China

ISBN: (纸本)9798350377712;9798350377705

Relative state estimation is crucial for vision-based swarms to estimate and compensate for the unavoidable drift of visual odometry. For autonomous drones equipped with the most compact sensor setting - a stereo camera that provides a limited field of view (FoV), the demand for mutual observation for relative state estimation conflicts with the demand for environment observation. To balance the two demands for FoV-limited swarms by acquiring mutual observations with a safety guarantee, this paper proposes an active localization correction system, which plans camera orientations via a yaw planner during the flight. The yaw planner manages the contradiction by calculating suitable timing and yaw angle commands based on the evaluation of localization uncertainty estimated by the Kalman Filter. Simulation validates the scalability of our algorithm. In real-world experiments, we reduce positioning drift by up to 65% and managed to maintain a given formation in both indoor and outdoor GPS-denied flight, from which the accuracy, efficiency, and robustness of the proposed system are verified.

关键词： Drones

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BEV-ODOM: Reducing Scale Drift in Monocular Visual Odometry with BEV Representation

BEV-ODOM: Reducing Scale Drift in Monocular Visual Odometry ...

引用

2024 international conference on intelligent Robots and systems

作者： Wei, Yufei Lu, Sha Han, Fuzhang Xiong, Rong Wang, Yue Zhejiang Univ Lab Ind Control & Technol Hangzhou 310058 Peoples R China Zhejiang Univ Inst Cyber Syst & Control Hangzhou 310058 Peoples R China

ISBN: (纸本)9798350377712;9798350377705

Monocular visual odometry (MVO) is vital in autonomous navigation and robotics, providing a cost-effective and flexible motion tracking solution, but the inherent scale ambiguity in monocular setups often leads to cumulative errors over time. In this paper, we present BEV-ODOM, a novel MVO framework leveraging the Bird's Eye View (BEV) Representation to address scale drift. Unlike existing approaches, BEVODOM integrates a depth-based perspective-view (PV) to BEV encoder, a correlation feature extraction neck, and a CNNMLP-based decoder, enabling it to estimate motion across three degrees of freedom without the need for depth supervision or complex optimization techniques. Our framework reduces scale drift in long-term sequences and achieves accurate motion estimation across various datasets, including NCLT, Oxford, and KITTI. The results indicate that BEV-ODOM outperforms current MVO methods, demonstrating reduced scale drift and higher accuracy.

关键词： Motion estimation

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Digital Twin-Driven Intrusion Detection for IoT and cyber-Physical System

Digital Twin-Driven Intrusion Detection for IoT and Cyber-Ph...

引用

2024 international conference on intelligent Algorithms for Computational Intelligence systems, IACIS 2024

作者： Ramamoorthy, Saravanan Kandaneri Sindhu, L. Valarmathi, K. Gobinath, C. Umaeswari, P. College of Non-Medicine University: Texila American University Guyana Sona College of Technology Department of Information Technology Salem India S. A. Engineering College Department of Information Technology Chennai India Reva University School of Computing and Information Technology Bengaluru India R.M.K. Engineering College Department of Computer Science and Business Systems Kavaraipettai India

ISBN: (纸本)9798350360660

From smart homes to industrial automation, the efficiency and connectivity of many applications have been greatly improved by the fast expansion of the Internet of Things (IoT) and cyber-Physical systems (CPS). Sophisticated cyberattacks are becoming more common in this networked ecosystem, thus strong security measures are needed. In order to protect CPS and IoT settings, this study presents a new intrusion detection method that makes use of Digital Twin technology. To build an adaptable and dynamic Intrusion Detection System (IDS), our suggested architecture combines Digital Twins with state-of-the-art machine learning methods. In order to accurately detect and categorize any threats, the IDS constantly learns from data in both the past and the present. When tested on benchmark datasets and in real-world Internet of Things (IoT) settings, the framework outperforms conventional intrusion detection system (IDS) solutions in terms of detection accuracy and false alarm rate reduction. To protect IoT and CPS infrastructures from ever-changing cyber threats, this scalable and resilient security solution is offered by this IDS that is powered by digital twins. We present ICNN-FCID, an Integrated Convolutional Neural Network for Fog Computing Environment, a hybrid deep learning intrusion detection model for fog computing environments. © 2024 ieee.

关键词： Network intrusion

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MNSSA: Meso-level Network Security Situation Awareness for ICS via Graph Evolution Analysis 20

MNSSA: Meso-level Network Security Situation Awareness for I...

引用

ieee 20th international conference on automation Science and Engineering (CASE)

作者： Zhang, Shilong Zhang, Hui Chen, Guo Luo, He Wu, Meiqi Chen, Hongxiang Ren, Zehua Wang, Zijun Liu, Yang Xi An Jiao Tong Univ Minist Educ Key Lab Intelligent Networks & Network Secur Xian 710049 Peoples R China China Yangtze Power Co Ltd Digital Management Ctr Wuhan 430010 Peoples R China Politecn Milan Energy Dept I-20156 Milan Italy

ISBN: (纸本)9798350358513;9798350358520

Intrusion detection systems (IDSs) are widely used for generating alarms indicating potential network security risks based on network traffic monitoring in industrial control systems (ICSs). However, it is a big burden for security analysts to handle numerous alarms in real time. Also, most alarms are falsely triggered by normal operations, which makes the real attack risks hard to find. In this paper, we propose MNSSA, a meso-level network security situation awareness method that conducts graph evolution analysis on the ICS alarms. MNSSA can semi-automatically filter low-risk false alarms in bulk and detect attack events. It can better analyze the network security situation and improve alarm processing efficiency.

关键词： Network intrusion

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cyber-Physical Testbed Frameworks for Digital Infrastructure 4

Cyber-Physical Testbed Frameworks for Digital Infrastructure

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4th international conference on Innovative Practices in technology and Management, ICIPTM 2024

作者： Maurya, Arun Kumar Ajay Kumar Garg Engineering College Electrical and Electronics Ghaziabad India

ISBN: (纸本)9798350307757

Data integrity and authentication significantly influence a communication system's dependability and security. The vulnerability of these systems to unauthorized breaches in digital substations has substantially increased due to the convergence of computers, communication technologies, and power systems as well as the widespread adoption of ICT systems. As a result, cybersecurity has become one of the biggest problems in the field of electro-grid network. This research paper explores numerous security issues with Sampled Value (SV) messages and suggests robust algorithms to address them. To improve security within a Substation's process bus network automation System (SAS) working within a power grid, it specifically calls for the integration of Message Authentication Code (MAC) technology into SV communications. The research also includes a well-organized examination of the effectiveness of SV data transmission between Merging Units (MU) and intelligent Electronic Devices (IEDs) in charge of protection and control (P&C) within a digital substation. This analysis focuses on evaluating the general viability of the proposed SV stream transmission technology as well as meeting strict time requirements. © 2024 ieee.

关键词： cybersecurity

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