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14th international conference on communication and Network Security, ICCNS 2024

作者： Dong, Jie Wen Kang, Xi Nai Peng, Jin Jiang, Xuan Ming Zhu, Tao Jun Information Technology Department National Key Laboratory of Seience and Technology on Aerospace Intelligence Control Beijing Aerospace Automatic Control Institute BeiJing China School of Computer Science Beijing University of Technology BeiJing China

ISBN: (纸本)9798400717994

As edge computing becomes an increasingly important computing model, trust management and security issues are becoming more severe. Problems such as malicious node attacks and trust isolation pose threats to the security and stability of edge computing environments. Therefore, designing an efficient and secure trust management mechanism is imperative. This paper proposes a trust collaboration technology for edge computing, addressing trust isolation and security issues through a unified trust value calculation method and blockchain technology. The designed trust management model evaluates the identity, capability, and behavior of terminal nodes using static and dynamic trust measurements. A consortium blockchain stores trust information to ensure immutability and efficient sharing. Simulation experiments validate the scheme's effectiveness in countering malicious node attacks, improving task completion rates, and reducing system risks. This solution offers an efficient and secure approach to trust management in edge computing environments. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Mobile edge computing

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Distributed Event Triggered Secondary control of Islanded Microgrid System 5

Distributed Event Triggered Secondary Control of Islanded Mi...

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5th IEEE international conference on Advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Rao, B.Chiranjeev Ralhan, Shimpy Department of Electrical Engineering Shri Shankaracharya Technical Campus Bhilai India Department of Electrical & Electronics Engineering Shri Shankaracharya Technical Campus Bhilai India

ISBN: (纸本)9798350356236

The demand for decentralized control techniques in DC microgrids has increased due to their ability to enhance scalability, reduce communication requirements, and improve overall system efficiency. This paper presents a distributed event-triggered secondary control strategy for DC microgrids, aiming to regulate voltage and manage power sharing in a cost-effective and scalable manner. By implementing event-triggered mechanisms, communication between distributed energy resources (DERs) is minimized, leading to reduced overhead while ensuring system stability. This article investigates an event-triggered mechanism that incorporates event detection and adaptive control strategies to maintain frequency, voltage, proportional current and powersharing stability, while avoiding unnecessary controller interactions. © 2025 IEEE.

关键词： Decentralized control

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Intelligent control algorithms for industrial automation systems

Intelligent control algorithms for industrial automation sys...

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2025 IEEE international Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Sarathkumar, D. Anil, A.R. Sivadasan, J. Jayakumar, T. Manivel, Murugesan Anandhakumar, C. Engineering Kongu Engineering College Department of Electrical and Electronics Tamil Nadu 638 060 India Sree Buddha College of Engineering Pattoor Department of Computer Science &engineering Kerala Alappuzha India Psr Engineering College Department of Electronics and Communication Engineering Tamil Nadu Sivakasi626140 India Nandha Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 638052 India Karpagam Institute of Technology Department of Electrical and Electronics Engineering Tamilnadu Coimbatore641021 India Sri Ramakrishna Institute of Technology Department of Electrical and Electronic Engineering Tamil Nadu Coimbatore641010 India

ISBN: (纸本)9798331529833

Industrial automation has become a cornerstone of modern manufacturing, enhancing efficiency, reliability, and scalability. The integration of intelligent control algorithms, such as fuzzy logic, neural networks, genetic algorithms, and model predictive control, has revolutionized traditional automation systems, enabling more adaptive, efficient, and robust operations. This paper explores the application and impact of these intelligent control techniques in industrial settings. It highlights how machine learning algorithms can predict equipment failures, optimize processes, and enhance decision-making in real-time. Case studies are presented to illustrate the benefits and challenges of deploying these algorithms across various automated systems, such as robotic assembly lines, process control in chemical plants, and smart warehousing. Furthermore, the paper discusses the integration of these algorithms with industrial IoT (IIoT) platforms, facilitating seamless communication and data exchange between machines and control systems. The research also addresses the challenges of implementing intelligent control, such as computational complexity, security concerns, and the need for real-time processing. Finally, this study evaluates future trends, emphasizing the potential of combining artificial intelligence and deep learning techniques with industrial automation for a more adaptive and autonomous manufacturing ecosystem. © 2025 IEEE.

关键词： Genetic algorithms

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Cloud Based LoRaWAN Enabled Water Tank automation Framework 4

Cloud Based LoRaWAN Enabled Water Tank Automation Framework

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4th international conference on Evolutionary computing and Mobile Sustainable Networks, ICECMSN 2024

作者： Abubeker, K.M. Nuthalapati, Aravind Kerala Kanjirappally686 518 India Data and AI Solutions Specialist Microsoft Charlotte United States

Internet of Things (IoT), sensor technologies, and low-power long-range wide area network (LoRaWAN) protocols are crucial to reducing water wastage during storage and distribution. This letter proposes a LoRa-based automatic water pump for overhead tanks in domestic and public water services. This research uses an ESP32 LoRa IoT platform for gateway and wide area network communication and the JSN-SR04T sensor for water level monitoring. This IoT framework is integrated with mobile applications and a web server for the real-time monitoring and control of water pumps. In fully automated mode, the LoRa gateway coordinated the control of the water pump depending on the pre-configured water level during installation. In semi-automated mode, users can control the water pump with the mobile application or web server. The developed framework is tested in different environments and verified the efficacy and performance of LoRa in terms of energy consumption, RSSI, SNR and distance of communication from the host node to the LoRa gateway. The research also highlighted the reduction in water consumption, and this framework potentially addresses the sustainable development goals 6 (SDG-6). © 2025 The Authors. Published by Elsevier B.V.

关键词： Water tanks

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Investigation of the Use of Fixed-Time Consistency Protocol in Faulty Multi-Agent Systems under Event-Triggered Mechanism 24

Investigation of the Use of Fixed-Time Consistency Protocol ...

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2nd international conference on Frontiers of Intelligent Manufacturing and automation, CFIMA 2024

作者： Jia, Chao Yang, Zhiwen The School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China

ISBN: (纸本)9798400710681

For the practical fixed-time average consensus problem in a first-order nonlinear faulty MAS with disturbances under switching topologies, on the basis of a dynamic event-triggered system, a fixed-time consensus method is suggested. This consensus protocol enables the MAS to achieve consensus more rapidly while conserving more resources. The fixed-time consensus control algorithm’s convergence time, which may be adjusted by selecting the right controller parameters, is independent of the initial state, in contrast to finite-time consensus control algorithms. Additionally, the protocol allows for the online generation of new communication topologies in the event of system failures. Lastly, simulation experiments are used to confirm the algorithm’s viability and efficacy. © 2024 Copyright held by the owner/author(s).

关键词： Topology

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A Framework for Evaluating Integration Testing Criteria in Serverless Applications 15

A Framework for Evaluating Integration Testing Criteria in S...

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15th international conference on Cloud computing and Services Science, CLOSER 2025

作者： Winzinger, Stefan Wirtz, Guido Distributed Systems Group University of Bamberg An der Weberei 5 Bamberg96047 Germany

ISBN: (纸本)9789897587474

Serverless applications are based on Function-as-a-Service (FaaS) platforms where serverless functions interact with other cloud-specific services. The integration of these components is crucial for the application’s functionality and must be adequately tested. Testing criteria can help here by supporting developers in evaluating test suites and identifying missing test cases. This paper presents a framework for evaluating integration testing criteria in serverless applications by showing the processes needed for evaluating the criteria. The process defined is shown for some control and data flow criteria and applied to some serverless applications showing the feasibility of the approach. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Coverage Criteria Data Flow FaaS Integration Testing Serverless computing

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AI-Driven Test automation for Big Data Systems in Cloud Environments 1

AI-Driven Test Automation for Big Data Systems in Cloud Envi...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Gupta, Ankit Kumar Govindankutty, Sreeprasad Nandyala, Avinash Reddy Maria Thason, Justin Rajakumar Pippal, Sanjeev Gupta, Gopal Kumar Uttar Pradesh Technical University Uttar Pradesh Lucknow India Rochester Institute of Technology RochesterNY14623 United States Texas State University San MarcosTX United States Maniapl University Sikkim Gangtok737102 India Greater Noida201306 India Nagpur Campus Pune440008 India

ISBN: (纸本)9798331518578

AI-based Test automation for Cloud-Based Big Advanced Data Systems this method used AI and other new data science methods such as big data, cloud computing, etc. Current testing methodologies do not suit the environments of modern big data systems in a cloud-based environment. AI based test automation approaches: Automated test scenario preparation, examination of test events to identify defects and generation of testing issues. Big data systems, on the other hand, can periodically scan for maximum performance with an all-AI approach, carry out A/B testing, and fine-tune performance. This is particularly important for cloud environments when the architecture of the system and data processing continually changes at a high rate. Additionally, AI in test automation is capable of detecting anomalies and predicting possible system breakdown, providing early warning of issues to ensure mitigation and thereby avoiding costly downtime. This way various scenarios and data sets can be tested and covered to ensure that the best results are covered. © 2025 IEEE.

关键词： Data centers

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Trust-Based Identity Privacy for Edge computing 24

Trust-Based Identity Privacy for Edge Computing

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14th international conference on communication and Network Security, ICCNS 2024

ISBN: (纸本)9798400717994

College of Computer Science Beijing University of Technology, Beijing 100124, China, 1374622525@*** This paper proposes a trust collaboration technology for edge computing, addressing trust isolation and security issues through a unified trust value calculation method and blockchain technology. The designed trust management model evaluates the identity, capability, and behavior of terminal nodes using static and dynamic trust measurements. A consortium blockchain stores trust information to ensure immutability and efficient sharing. Simulation experiments validate the scheme's effectiveness in countering malicious node attacks, improving task completion rates, and reducing system risks. This solution offers an efficient and secure approach to trust management in edge computing environments. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Differential privacy

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Stability of stochastic T-S fuzzy systems via dynamic event-triggered control

Stability of stochastic T-S fuzzy systems via dynamic event-...

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2024 international conference on automation, Electrical control Systems and Equipment, AECSE 2024

作者： Zhang, Yali Liu, Linna Pan, Chenglong Zhou, Shuaibo School of Automation and Electrical Engineering Zhongyuan University of Technology Henan Zhengzhou450007 China

This paper aims to examine the practical input-to-state stability (p-ISS) of stochastic T-S fuzzy systems (T-SFS) with parameter uncertainty by employing dynamic event-triggered control (DETC). In order to reduce the frequency of triggering events and the number of messages transmitted, we propose a DETC scheme, which introduces the waiting time to avoid Zeno behaviour and further saves communication resources. Additionally, within the DETC approach, LMI-based criteria are formulated to guarantee p-ISS for nonlinear stochastic T-SFS. © Published under licence by IOP Publishing Ltd.

关键词： Stochastic systems

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Plug and Play Detector Design for DC Microgrids With Unknown-Inputs-Based FDI Attack

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IEEE Transactions on Smart Grid 2025年第3期16卷 2052-2064页

作者： Wu, Zhihua Peng, Chen Tian, Engang Zhang, Yajian Shanghai University Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai200444 China University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering Shanghai200093 China

DC microgrids, due to their deep integration of control, computing, communication technologies, and physical equipment, are susceptible to cyber-attacks. Consequently, this paper is dedicated to the development of a novel attack-defense framework for generalized DC microgrids. Firstly, an unknown-inputs-based false data injection (FDI) attack strategy is studied from the adversary’s perspective, unlike traditional stealthy attacks requiring non-minimum phase zeros or unstable poles, which conceals the attack signal as false unknown inputs (FUI) to maliciously disrupt current sharing and voltage balancing. Secondly, a comprehensive analysis of the stealthiness and destructiveness of FUI attack is provided, and a dual-observer-based detector is well constructed to detect the FUI attack and isolate the compromised distributed generation units. Then, structured Lyapunov matrix and semidefinite programming are ingeniously employed to solve the distributed observer gains simultaneously. Moreover, plug and play (PnP) performance is also analyzed to ensure the scalability of proposed FUI attack detector. Finally, the destructiveness and stealthiness of proposed FUI attack, as well as the effectiveness of designed detection scheme are demonstrated through simulations using MATLAB/SimPowerSystems Toolbox. © 2010-2012 IEEE.

关键词： MATLAB

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