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检索条件"任意字段=IEEE International Conference on Cyber Technology in Automation,Control,and Intelligent Systems"

共 34963 条记录，以下是21-30 订阅

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Assessing the Frontiers of SIEM technology: A Rigorous Evaluation and Validation of Innovative Features in SIEM Solutions 24

Assessing the Frontiers of SIEM Technology: A Rigorous Evalu...

引用

6th international conference on Information technology and Computer Communications, ITCC 2024

作者： Akbas, Ertugrul SureLog SIEM Dover United States

ISBN: (纸本)9798400717789

Security Information and Event Management (SIEM) systems play a crucial role in modern cybersecurity by aggregating, correlating, and analyzing vast amounts of security data. As cyber threats continue to evolve, the demand for Next-Generation SIEMs (NG-SIEMs) has grown, promising advanced features and enhanced capabilities. There are dozens of studies related to the analysis and comparison of SIEM solutions in academia and industry, but none of them have examined these analyses in terms of existing laws and regulations related to SIEM worldwide. This paper proposes a systematic approach to comparing vital features of NG-SIEMs through validation. By establishing a structured methodology for comparison in terms of laws and regulations, organizations can make informed decisions about the most suitable NG-SIEM solution for their specific security requirements. © 2024 Copyright held by the owner/author(s).

关键词： Information management

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Explaining cyber Risks in Transportaion 5.0: A Data Driven Approach 4

Explaining Cyber Risks in Transportaion 5.0: A Data Driven A...

引用

4th ieee international conference on Artificial Intelligence in cybersecurity, ICAIC 2025

作者： Tandan, Binod Vajpayee, Prashant Hossain, Gahangir University of North Texas Dept. of Informtation Science DentonTX United States

ISBN: (纸本)9798331518882

The primary objective of the research is to explore the cybersecurity risks associated with AI-enabled intelligent transportation systems (Transportation 5.0) within the context of developing future smart cities. In Transpiration 5.0, the critical infrastructure increasingly relies on automated systems, which enhances the threat of ransomware attacks, specifically targeting vital cyber-physical systems (CPS), smart grids, and intelligent transportation systems (ITS). The paper explores transportation ransomware attack data to incorporate advanced visualization and extract relevant data attributes for cyber risk evaluation. The study uses the NIST risk management framework and ISACA risk quantification to develop a cyber risk evaluation method. With the findings of the literature review, the research highlights ransomware as a significant threat to intelligent transportation systems (ITS), given the negative impact of malware on IoT, IIoT, and network-connected devices. While substantial research exists on malware detection techniques, performance, accuracy, and cloud-based strategies, it's crucial for organizations to comprehend the risks of ransomware attacks to implement effective security controls and enable cyber excellence. The research executes exploratory data analysis on the given dataset to find out the correlation between different attributes such as severity, data loss, affected systems, and ransom amount for evolving a risk method to evaluate cyber risk. The focus is to simplify the risk evaluation process by fitting the right data attributes into a standard risk management framework and risk formula for broader reusability. The method was applied to different transportation modes to calculate the risk scores respectively and generate insights accordingly. The overall analysis supports that effective risk predictions along with consistent monitoring can help to control ransomware attack incidents and improve cyber resiliency. This paper proposes a data-d

关键词： cyber attacks

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An Adaptive Golden Jackal Optimization Algorithm for Mobile Robotic Path Planning

An Adaptive Golden Jackal Optimization Algorithm for Mobile ...

引用

2024 international conference on Mechatronics and intelligent control, ICMIC 2024

作者： Chen, Siwen Zheng, Xiujuan Shanghai United Imaging Healthcare Co. Ltd. Shanghai China Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education Wuhan University of Science and Technology Wuhan China Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology Wuhan China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Given the shortcomings of the traditional Golden Jackal Optimization (GJO) algorithm, including limited accuracy and slow convergence speed in solving mobile robot path planning problems, an improved adaptive Golden Jackal Optimization (IAGJO) method is proposed. Firstly, a nonlinear adaptive energy strategy is presented to adjust the energy decay pattern, balancing global and local search. Secondly, an enhanced position update mechanism based on Cauchy and Gaussian mutation increases population diversity and guide the search based on optimal individuals, thereby facilitating efficient exploration of unknown regions and avoiding local optima. Finally, the IAGJO algorithm is applied to mobile robot path planning (MRPP), demonstrating that the IAGJO achieves shorter path lengths and higher search efficiency, exhibiting significant advantages over existing methods. © 2025 SPIE.

关键词： Optimization algorithms

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A Real-World Dataset "IDSIoT2024" for Machine Learning/Deep Learning based cyber Attack Detection System for IoT Architecture 3

A Real-World Dataset "IDSIoT2024" for Machine Learning/Deep ...

引用

3rd international conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Koppula, Manasa Leo Joseph, L.M.I. Dept. of ECE SR University Warangal India

ISBN: (纸本)9798331527549

The Internet of Things (IoT) is an emerging technology evaluating its inception in all domains like industries, home automation, healthcare, agriculture, etc. The major challenge in IoT is securing the IoT devices and information associated with the IoT devices from hackers or unauthorized persons. These cyber security attacks can be detected early for timely interventions and reduce major risks. Machine Learning (ML)/Deep Learning (DL) has become an influential technique for automatic Attack or Intrusion Detection systems (IDS), putting forward numerous advantages over traditional techniques. A well-structured, real-time IoT security dataset must be used to develop IDS using ML/DL approaches. The article proposes a Real-World dataset IDSIoT2024 consisting of 16,230,955 records to help researchers advance solutions for tackling cyber security in IoT networks. The records presented in the dataset were captured using the Wireshark tool in a real-world IoT architecture. The data collection has taken two months from the middle of June 2023 to August 2023. The proposed dataset can be employed in the field of Artificial Intelligence (AI) to develop ML/DL approaches and detect cyber-attacks in IoT networks. A large amount of data needs to be trained to an ML algorithm to get precise detection of attacks. Therefore, the proposed dataset with a vast number of records with different attacks can accommodate the researchers for the development of Intrusion Detection systems. © 2025 ieee.

关键词： cyber attacks

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Secure Remote State Estimation Against False Data Injection Attacks Based on Improved Kalman Filtering Algorithm 24

Secure Remote State Estimation Against False Data Injection ...

引用

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

作者： Zhuang, Xu Wang, Zhichuang He, Wei School of Intelligence Science and Technology University of Science and Technology Beijing Beijing China

ISBN: (纸本)9798400710681

Due to the development of wireless networks, many secure remote state estimation algorithms have been studied by researchers. This paper proposed an improved Kalman filter method to deal with the secure remote state estimation problem caused by the false data injection (FDI) attacks in cyber–physical systems (CPSs). We redesign Kalman filter gain by making full use of the attack information so that the systems can achieve accurate state estimation even if the FDI attack exists. Moreover, the modelling of the attack is arbitrary Gaussian distribution thus have more extensive applications. The Kullback-Leibler divergence is used to measure the impact of the attacks. No matter the attack parameters are time-varying or time-invariant, they can be identified and used to redesign Kalman filter gain. Finally, comparative simulations are provided to verify the effectiveness and superiority of our method. © 2024 Copyright held by the owner/author(s).

关键词： Kalman filters

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Liquid Crystal technology for IoT and Beyond: Advancements and Future Directions

Liquid Crystal Technology for IoT and Beyond: Advancements a...

引用

2025 international conference on control, automation, and Instrumentation, IC2AI 2025

作者： Li, Jinfeng Li, Haorong Advanced Research Institute of Multidisciplinary Science Beijing Institute of Technology Beijing China Beijing Institute of Technology Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing China

ISBN: (纸本)9798331529604

This article presents a focused review of past performance, recent advancements and emerging trends in liquid crystal-based reconfigurable millimeter-wave components and systems, with applications extending to the Internet of Things (IoT) and beyond. Two primary developmental trajectories are highlighted: the use of phasereconfigurable delay lines in passively fed phased-array antennas and reconfigurable intelligent surfaces (RIS) to enable adaptive communication, and the implementation of passive tunable filtering for dynamic spectrum allocation. These trends underscore an ongoing shift towards adaptable, intelligent, and energy-efficient hardware solutions, facilitating the next generation of smart, interconnected devices for IoT and AIoT (artificial intelligence of things). Furthermore, the potential of liquid crystal-based multi-modal sensing and communication is proposed and investigated, with a focus on improving power efficiency and enhancing security to support the development of future IoT ecosystems. © 2025 ieee.

关键词： Antenna phased arrays

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Design Process and Development of automation for Smart Buildings 1

Design Process and Development of Automation for Smart Build...

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

作者： Sethi, Gunjan Khurana, Deepika Verma, Monika Pant, Surmadhur Chauhan, Priyanka Bhatt, Bhaskar Department of Computer Science and Engineering Delhi Technical Campus Uttar Pradesh Greater Noida India IIMT College of Engineering Department of Computer Science and Engineering Uttar Pradesh Greater Noida India Shivalik College of Engineering Department of ECE Dehradun India Uttaranchal Institute of Technology Uttaranchal University Dehradun248007 India Bipin Tripathi Kumaon Institute of Technology Department of Mechanical Engineering Dwarahat Almora India

ISBN: (纸本)9798331518578

In order to create spaces that are secure, cozy, energy-efficient, and visually beautiful, smart buildings are becoming more and more sophisticated cyber-physical systems. However, as functional complexity, financial concerns, and market demands increase, traditional design methodologies are becoming less effective. Current framework's plan and activity have been totally changed by the presentation of automated smart building, which ensures expanded security, better inhabitant solace, and energy effectiveness. With an emphasis on MATLAB-based reproductions, this study offers a careful assessment of the plan interaction and improvement procedures for computerizing savvy structures. The study delineates how MATLAB makes it simpler to depict, reproduce, and investigate savvy building frameworks with certainty. Through the mix of numerous advancements, like sensors, regulators, and correspondence conventions, the research shows the turn of events and check of a mechanized smart building framework. The intelligent building's building automation system prioritizes a humanized interface and uses a combination of mechanical, electrical, and fire control systems, access control systems, and parking management systems to give building occupants a convenient and comfortable place to live and work. The discoveries show prominent additions in functional viability, natural adaptability, and energy utilization. The conventional heuristic and ad hoc design paradigms are becoming ineffective and inadequate for the future due to cost, the requirement to handle growing functional complexity, adaptability, supply chain fragmentation, and time-to-market pressure. © 2025 ieee.

关键词： Smart homes

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Energy Harvesting and Smart Wireless Home automation System using Internet of Things based Applications 3

Energy Harvesting and Smart Wireless Home Automation System ...

引用

3rd international conference on Electronics and Renewable systems, ICEARS 2025

作者： Veeramuthu, A. Dinesh, M. Jayamani, K. Saravanan, L. Giri, Jayant Al Sherideh, Ala'a Sathyabama Institute of Science and Technology Department of Information Technology Chennai India Saveetha School of Engineering Department of Vlsi Microelectronics Chennai India Rajalakshmi Institute of Technology Chennai India Peri Institute of Technology Department of Ece Mannivakkam Chennai India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Division of Research and Development Lovely Professional University Phagwara India Zarqa University College of Information Technology Department of Cyber Security Zarqa Jordan University of Business and Technology Jeddah21448 Saudi Arabia

ISBN: (纸本)9798331509675

A comprehensive approach to energy-efficient smart home automation leveraging IoT technologies. The Altair Smart Core IoT platform integrates with Arduino, enabling remote control and management of household devices. The developed EHSWH model introduces a five-layered system architecture, facilitating automation features such as main door control, temperature and humidity monitoring, smart bin management, smart water pump operation, and automatic light and door control. Users can interact with the system effortlessly through RESTful web services and dedicated Android/web applications, ensuring convenience and accessibility. Extensive experimentation using the ns3 software in Ubuntu OS demonstrates the superior performance of the proposed EHSWHs protocol across key metrics, including packet delivery ratio, network throughput, energy efficiency, average delay, and routing overhead, underscoring its effectiveness in optimizing IoT network performance and efficiency. © 2025 ieee.

关键词： Web services

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A Power-voltage coordinated control strategy of inverters in low-voltage distribution networks

A Power-voltage coordinated control strategy of inverters in...

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2024 international conference on Mechatronics and intelligent control, ICMIC 2024

作者： Wei, Yinzhong Mei, Jianchun Zhou, Yalong Su, Jiabin Yan, Anxin Zhou, Zhen China Energy Engineering Group Jiangsu Power Design Institute Co. Ltd. Nanjing211102 China Jiangsu Keneng Electric Power Engineering Consulting Co. Ltd. Nanjing210000 China School of Automation Nanjing University of Science and Technology Nanjing210094 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Considering the problem concerning voltage beyond limit caused by the photovoltaic generators in low-voltage distribution network system, a power-voltage coordinated manage method about inverters is offered to deal with voltage beyond limit by photovoltaic generators. This method can give priority to voltage adjustment through reactive power belonging to the PV, if the reactive regulation ability from the PV reaches its limit while the voltage continues to exceed the limit, an active power reduction control based on sparrow search algorithm is further adopted to minimize the waste of photovoltaic active power and avoid voltage beyond limit. The simulation outcomes confirm the potency as well as advantages belonging to the offered method in dealing with the beyond-limits about voltage created by the PV. © 2025 SPIE.

关键词： Photovoltaics control systems Lithium Solar energy Resistance automation Mathematical optimization Algorithm development Design Safety

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IoT based intelligent Object Sorting System using YOLO 1

IoT based Intelligent Object Sorting System using YOLO

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1st international conference on intelligent systems and Computational Networks, ICISCN 2025

作者： Chinchmalatpure, Sheela Golegaonkar, Purva Bissa, Devang Borade, Ishawar Bora, Tanmay Vishwakarma Institute of Technology Department of Ai & Ds Pune India Pune India

ISBN: (纸本)9798331529246

The advent of Internet-of-Things technology has opened newer horizons for industrial automation. This paper addresses the traditional inefficiencies in sorting systems highly dependent on the intervention of humans, proposing an intelligent object sorting system based on IoT. It aims at the integration of IoT sensors with the YOLO Deep Learning Model to accomplish fast, error-free object sorting in parameters like size, colour, shape, and material based on the use of as little human effort as possible. Using a dataset of 25,000 annotated images, the system achieved a Mean Average Precision (MAP) of 0.87 and a classification accuracy of 0.93, outperforming traditional rule-based methods by reducing misclassification rates by up to 32%. The integration of IoT enables real-time monitoring and scalability, making the system suitable for applications in recycling, manufacturing, and logistics. This research highlights the potential of IoT and deep learning in improving productivity and reducing costs in industrial automation. © 2025 ieee.

关键词： Smart manufacturing

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