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Assessment of cyber-Physical Intrusion Detection and Classification for Industrial control systems

Assessment of Cyber-Physical Intrusion Detection and Classif...

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2022 ieee international conference on Communications, control, and Computing Technologies for Smart Grids, SmartGridComm 2022

作者： Muller, Nils Ziras, Charalampos Heussen, Kai Technical University of Denmark Wind and Energy Systems Department Lyngby Denmark

ISBN: (数字)9781665432542

ISBN: (纸本)9781665432542

The increasing interaction of industrial control systems (ICSs) with public networks and digital devices introduces new cyber threats to power systems and other critical infrastructure. Recent cyber-physical attacks such as Stuxnet and Irongate revealed unexpected ICS vulnerabilities and a need for improved security measures. Intrusion detection systems constitute a key security technology, which typically monitors cyber network data for detecting malicious activities. However, a central characteristic of modern ICSs is the increasing interdependency of physical and cyber network processes. Thus, the integration of network and physical process data is seen as a promising approach to improve predictability in real-time intrusion detection for ICSs by accounting for physical constraints and underlying process patterns. This work systematically assesses machine learning-based cyber-physical intrusion detection and multi-class classification through a comparison to its purely network data-based counterpart and evaluation of misclassifications and detection delay. Multiple supervised detection and classification pipelines are applied on a recent cyber-physical dataset, which describes various cyber attacks and physical faults on a generic ICS. A key finding is that the integration of physical process data improves detection and classification of all considered attack types. In addition, it enables simultaneous processing of attacks and faults, paving the way for holistic cross-domain root cause identification. © 2022 ieee.

关键词： Machine learning

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Development of an intelligent control Machine for Power Tunnel Operations in Confined Spaces

Development of an Intelligent Control Machine for Power Tunn...

引用

Power Science and technology (ICPST), ieee international conference on

作者： Zhen Chen Jianmin Wu Bo Yu Gengyu Li Degang Sun Dong Li Liaoning Power Transmission and Transformation Engineering Co. Ltd. Shenyang China Shenyang Zhiboourui Automation Co. Ltd Shenyang China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

Considering the challenges associated with complex operational procedures, diverse equipment requirements, lengthy preparation and layout time within confined spaces of cable engineering projects, this study conducts research on an intelligent control machine for limited space operations in power tunnels. The control machine comprises monitoring platforms, blowers, gas detectors, air ducts, control systems and other modules. It enables real-time data collection of gas content and ventilation capacity in restricted areas to facilitate intelligent monitoring of environmental information within these spaces. Consequently, it enhances on-site construction efficiency while ensuring the safety of limited space operations.

关键词： Shafts Layout Aerospace electronics Ventilation control systems Real-time systems Safety

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A Low-Cost Skiing Motion Capture System Based on Monocular RGB Camera and MINS Fusion 20

A Low-Cost Skiing Motion Capture System Based on Monocular R...

引用

20th ieee international conference on Mechatronics and automation, ICMA 2023

作者： Zhang, Zibin Cong, Xiaodan Zhang, Xiaoqi Yu, Xilin Lin, Kaihong Guan, Lianwu Harbin Engineering University College of Intelligent Systems Science and Engineering Nantong St. Harbin150001 China Institute of Intelligent Manufacturing Heilongjiang Academy of Sciences Hanshui Rd Harbin150008 China

ISBN: (纸本)9798350320831

Ice and snow sports have entered a rapid development period since the Winter Olympics, and the emergence of indoor simulated skiing machines has driven the indoor skiing market developed in a high-way. However, there are some shortcomings in the use of existing simulated skiing machines: Simulated skiing machines lack a sense of immersion in relatively dry sports. Fortunately, the visual and inertial motion capture technology has developed rapidly, and is used in entertainment, games, film and television widely. Actually, the multi-node based inertial motion capture system makes it inconvenient to wear as many nodes, and monocular human motion capture system is also affected by occlusion. This paper proposes a real-time human body motion capture method by integrating the monocular vision and the inertial sensors. Specifically, the inertial sensors based Micro Inertial Navigation System (MINS) and the RGB cameras based computer vision system are integrated to capture the trajectory and posture of the key nodes (head, arms, trunk, legs, etc.) of skis and skiers in real-time. Moreover, the filtering technology is also utilized to reduce the jitter of visual motion capture data to improve the stability of the overall system. Finally, an indoor human motion capture experiment was conducted to verify the effectiveness of the scheme. The experimental results shown that there is a large error in visual motion capture under occlusion, and the inertial sensor could be integrated to replace the visual motion capture data for more accurate motion capture under occlusion. © 2023 ieee.

关键词： Inertial navigation systems

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Metaverses for Parallel Transportation: From General 3D Traffic Environment Construction to Virtual-Real I2TS Management and control 4

Metaverses for Parallel Transportation: From General 3D Traf...

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4th ieee international conference on Digital Twins and Parallel Intelligence, DTPI 2024

作者： Ma, Hao Yao, Xiaoting Wang, Xiao Anhui University School of Artificial Intelligence Hefei China Anhui University School of Artificial Intelligence Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education Hefei China

ISBN: (纸本)9798350349252

Metaverse technologies have enabled the creation of highly realistic artificial traffic system via real-time multi-source data fusion, while generative artificial intelligence (GAI) has facilitated the construction of large-scale traffic scenarios and the evaluation of strategies. This integration allows for the modeling of traffic environments that blend virtual and real-world interactions, providing digital proving grounds for the management and control (M&C) of intelligent transportation systems (ITS). This paper comprehensively reviews the evolution of traffic modeling tools, from traditional 2D and 3D traffic simulations to the construction of generative 3D traffic environments based on digital twin (DT) technologies and the metaverse. Furthermore, to address the challenges posed by social diversity and uncertainty in mixed traffic, as well as the limitations of traditional methods, we propose a virtual-real interaction M&C strategy based on GAI. This strategy integrates the metaverse into parallel traffic systems (PTS), enabling bidirectional interaction and collaboration between virtual and physical environments. Through specific case studies, this research demonstrates the potential of combining the metaverse with PTS to enhance the efficiency of mixed traffic systems. © 2024 ieee.

关键词： Data fusion

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Diversified Grid Optimization Model to Handle Fast Charging Provision of Electric Vehicles Using Artificial Intelligence (AI) Technique

Diversified Grid Optimization Model to Handle Fast Charging ...

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2024 international conference on Innovative Computing, intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Karthik, G. Kumar, R.Sampath Manimegalai, L. Rajkumar, G.Vinoth Adkane, R.V. Odeh, Mahmoud Department of Computer Science and Engineering Salem India Kpr institute of Engineering and Technology Department of Mechatronics Engineering Coimbatore India R.M.K. College of Engineering and Technology Department of Electronics and Communication Chennai India J.P College of Engineering Department of Electronics and Communication Engineering Tenkasi India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Zarqa University Faculty of Information Technology Department of Cyber Secuity Zarqa Jordan University of Business and Technology Jeddah21448 Saudi Arabia

ISBN: (纸本)9798331543617

The transportation industry is taking a giant leap forward towards a dependable, carbon-neutral future thanks to electric vehicles (EVs). The growing number of electric vehicles on the road is putting a strain on power networks and electrical grids caused by dispersed energy resources, particularly the EVI's demands for charging and discharging. Without proper coordination of charging and discharging, the already overburdened power distribution system would struggle to handle the large number of electric vehicles on the road. To get more people to use scheduling programs, electric vehicle owners can use dynamic pricing, a kind of demand response. Studying the timing of electric vehicle charging and discharging as well as its dynamic pricing model is, hence, crucial. There has been a lot of study on scheduling and demand forecasting models for electric vehicle charging that employ artificial intelligence, with many academics claiming that AI approaches outperform more traditional optimization techniques. The Diversified Grid Optimization Model (DGOM) is a novel method for optimizing charging facilities that aims to provide fast and efficient charging. To test its efficacy, it is cross-validated with the Dynamic Vehicle Charging Model (DVCM), a traditional charging scheme. The investigations pertaining to electric vehicle charging and discharging are categorized into scheduling, pricing, and forecasting in this paper's experimental analysis. This work finds the missing pieces of the puzzle when it comes to dynamic pricing models and EV discharge scheduling by establishing the connection between forecasting, scheduling, and pricing mechanisms. © 2024 ieee.

关键词： State of charge

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A Power IoT Terminal Asset Identification technology Suitable for Modbus Protocol

A Power IoT Terminal Asset Identification Technology Suitabl...

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2024 international conference on Interactive intelligent systems and Techniques, IIST 2024

作者： Li, Yong Ma, YuanYuan Chen, Mu Wang, Chao State Grid Smart Grid Research Enstitute Co. Ltd State Grid Key Laboratory of Information & Network Security Nanjing210003 China State Grid Beijing Electric Power Research Institute Beijing100075 China

ISBN: (纸本)9798350374421

In the new power system scenario, Power IoT terminals have new characteristics such as diverse hardware heterogeneity and complex subject ownership, which make it technically difficult to achieve secure access authentication based on traditional terminal hardware fingerprint recognition technology. A power IoT terminal fingerprint recognition technology suitable for the Modbus protocol is proposed to solve this problem. This method combines the characteristics of Modbus protocol packet parsing, which is a common industrial control communication protocol. Firstly, based on active packet detection technology, it realizes the survival judgment of business terminals and constructs a coarse-grained topology image of terminal production. Then, by passively monitoring and analyzing the characteristics of terminal interaction traffic behavior, a terminal behavior fingerprint recognition model is constructed based on the deep learning algorithm BiLSTM to achieve accurate terminal type discrimination, thereby establishing a power IoT terminal fingerprint recognition model. The experimental results in a distributed photovoltaic scenario show that the method has an average classification and recognition accuracy of 89.6% for common power business terminals, which can basically meet the lightweight and non-invasive business requirements of terminal fingerprint recognition in new power system scenarios. © 2024 ieee.

关键词： Deep learning

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The principle and influence analysis of suppressing ultra-low frequency oscillation by using additional GPSS control 3

The principle and influence analysis of suppressing ultra-lo...

引用

3rd international conference on intelligent Power and systems, ICIPS 2023

作者： Xu, Tao Sun, Shiyun Zhou, Zichao Feng, Haiyang Deng, Han Chen, Youwei Li, Boyu Kunming University of Science and Technology Yunnan Kunming China

ISBN: (纸本)9798350328691

The distribution of power energy in China has promoted the development of long-distance and large-capacity ultra-high voltage direct current transmission projects. The asynchronous interconnection of power grids has become the mainstream trend, which makes the sending-end system dominated by hydropower have serious frequency stability problems. Therefore, this paper first analyzes the damping properties of the speed control system of hydropower units, and reveals that the negative damping caused by the phase lag of the speed control system is the root cause of the ultra-low frequency oscillation. Secondly, a method of using the lead-lag link of GPSS to compensate the phase lag of the speed control system to improve the damping is proposed, which can effectively suppress the ultra-low frequency oscillation under the requirement of frequency modulation performance. Then the root locus method is used to analyze the control parameters, and it is concluded that the appropriate GPSS control parameters can effectively improve the stability of the system. Finally, a single-machine single-load model is built by PSCAD/EMTDC electromagnetic simulation platform to verify the effectiveness of the GPSS to suppress ultra-low frequency oscillation. ©2023 ieee.

关键词： Simulation platform

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Performance Optimization for Reconfigurable intelligent Surface Aided Cellular Networks with D2D Communication 23

Performance Optimization for Reconfigurable Intelligent Surf...

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23rd ieee international conference on Communication technology, ICCT 2023

作者： Song, Fangran Cai, Yan Zhang, Jun Wu, Shengchen Zhu, Hongbo Nanjing University of Posts and Telecommunications Jiangsu Key Laboratory of Wireless Communications Nanjing210003 China

ISBN: (纸本)9798350325959

Reconfigurable intelligent surface (RIS) is recognized as a promising technology to enhance the performance of wireless communication systems. In this paper, a RIS-aided cellular network with device-to-device communication is considered. We aim to maximize the energy efficiency (EE) by jointly optimizing the transmit power of the users and passive beamforming of RIS. To solve this non-convex problem, we decouple it into two sub-problems to optimize alternately, namely beamforming and power control. Specifically, we first transform the sub-problem of passive beamforming optimization into a quadratically constrained quadratic programming problem and use semidefinite relaxation algorithm to solve. Then we optimize the power by using the techniques of fractional programming, Dinkelbach's method, and immune algorithm. Finally simulation results show that the proposed joint optimization algorithm enhances the system EE compared to other benchmarks. © 2023 ieee.

关键词： device-to-device communication passive beamforming power control Reconfigurable intelligent surface

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intelligent Water and Fertilizer control Strategy of Fuzzy PID Optimized by Swarm Intelligence Algorithm 2

Intelligent Water and Fertilizer Control Strategy of Fuzzy P...

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2nd international conference on Artificial Intelligence and intelligent Information Processing, AIIIP 2023

作者： Hua, Shan Xu, MinJie Li, Shuangwei Han, Kaiyuan Xu, Zhifu Zhao, Zeneng Institure of Agricultural Equipment Zhejiang Academy of Agricultural Sciences Zhejiang Hangzhou310021 China Ministry of Agriculture and Rural Affairs Key Laboratory of Agricultural Equipment for Hilly and Mountainous Areas in Southeastern China Ministry and Province Zhejiang Hangzhou310021 China School of Biological and Chemical Engineering Zhejiang University of Science and Technology Zhejiang Hangzhou310023 China

ISBN: (纸本)9798350371451

In order to improve the water and fertilizer utilization efficiency, reduce the water and fertilizer losses, and address the shortcomings of traditional water and fertilizer irrigation systems, such as time-variance, nonlinearity, and poor adaptability, this study adopts water and fertilizer electrical conductivity (EC) as the controlled object to compare fuzzy PID control strategy optimized based on 12 kinds of swarm intelligent algorithms, PID, and fuzzy PID control. MATLAB/Simulink is used to simulate various swarm intelligence control strategies. It is observed that the fuzzy PID based on snake optimizer (SO) has the best control effect, with the lowest number of iterations being 22, fitness being 17.1, overshoot being 0.5601%, adjustment time being 3.13s, and the system response being relatively stable. Therefore, it is more suitable for the accurate control of EC in the intelligent water and fertilizer systems. © 2023 ieee.

关键词： MATLAB

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Sensory System Based on intelligent Sensors for Implementation of a Modern Weather Station

Sensory System Based on Intelligent Sensors for Implementati...

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2023 international conference on Electromechanical and Energy systems, SIELMEN 2023

作者： Branzila, Marius Cislariu, Stefan-Andrei Vornicu, Silviu Brinzila, Carmen 'Gheorghe Asachi' Technical University Faculty of Electrical Engineering IaSi Romania 'Mihai Eminescu' National College IaSi Romania

ISBN: (纸本)9798350315240

When we discuss the quick development of technology, the weather station has become an asset for those who want to enjoy a tool that can provide accurate data about temperature, pressure, and various weather data, but also an essential element in the successful operation and development of various economic branches. In this work, we have presented how to take information from the environment and use it to create predictions. Using a modular concept, we can easily connect several controllers without making significant changes to the original system, which is a great advantage over other products on the market. © 2023 ieee.

关键词： intelligent control

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