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An Intrusion Detection in Mobile sensor Networks with Empowered Intruders Using k-Coverage as the Foundation for Detection 3

An Intrusion Detection in Mobile Sensor Networks with Empowe...

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3rd international conference on Smart Generation computing, Communication and Networking, SMART GENCON 2023

作者： Das, Sidhant Centre for Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350319125

Intrusion detection in sensor networks is a difficult problem to solve. It has been proven that in static sensor systems, intrusion detection is improved by constructing sensor barriers utilizing random sensor deployment. In view of the recent surge of interest in mobile sensor applications, this study delves into the intrusion detection problem in a mobile sensors system, where it is anticipated that mobile sensors could improve barrier coverage. We focus in on protecting against mobile threats by erecting k-barriers. The necessity to record the paths of both sensors and intruders makes this a difficult challenge to solve. We begin by comparing this issue to the kinetic theory of gases developed during the classical era of physics. From there, we extrapolate the connection between sensor weight, detecting range, and sensors and intruder movement, all of which are critical system elements that affect barrier coverage performance. We do a correlation and sensitivity analysis on the system parameters to determine how many wireless sensors must be deployed for constant k-barrier coverage. Finally, we show that the same number of sensors may achieve much better coverage performance than in a static sensor environment. © 2023 ieee.

关键词： Barrier coverage intrusion detection mobile sensor network (MSN) mobility

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Mocap-ARM: A natural avatar motion rendering system based on loose-fit sensor jacket 3

Mocap-ARM: A natural avatar motion rendering system based on...

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3rd ieee international conference on Data, Decision and systems, ICDDS 2024

作者： Anonymous

ISBN: (纸本)9798350363890

We propose a motion capture and adjustable rendering method(Mocap-ARM) for reliably rendering avatars even if there is noise in the input motion data. Conventional motion capture systems apply sensed motion data to avatars directly. In this case, the avatar action may seem unrealistic when the sensed motion data contains noise data. Whereas, our Mocap-ARM recognizes sensed motion data and renders an avatar using the generated motion data. We generated various motion data using the motion data generative model. Our Mocap-ARM can mix the generated motions using our motion data adjusting method. Therefore, if our recognition system can recognize the input motion data containing lots of noise, the avatar can be drawn with various motion data from the motion data generative model. We verified the validity of the Mocap-ARM through a user study. Users compared the proposed system with the existing 1:1 mapping system in the user study. As a result of the comparison, users preferred the Mocap-ARM system. © 2024 ieee.

关键词： Motion capture

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Research on Employee Innovative Behavior Feedback System Based on Web-based ID3 Algorithm 3

Research on Employee Innovative Behavior Feedback System Bas...

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3rd international conference on Data Analytics, computing and Artificial Intelligence, ICDACAI 2024

作者： Luo, Hongchi School of Management Shanghai University Shanghai200444 China

ISBN: (纸本)9798331519032

In the Internet era, the rapid development of technology has had a profound impact on the development of enterprises. With the rapid changes in the global economy, enterprises are faced with the serious challenges brought about by the uncertainty of market structure and demand. In this case, the innovative behaviour of employees has become a key factor to promote the development of enterprises, which is an important part of their innovative capacity. The study used the questionnaire star platform and offline distribution of questionnaires for enterprise employees with different gender, age, nature of the enterprise, job level and other attributes, and successfully distributed and returned 206 valid questionnaires, using SPSS 27, AMOS 25 and other analytical software to analyse the data for reliability analysis, validity analysis and correlation test, and using machine learning decision tree algorithm -ID3 algorithm to construct the decision tree model. This study can effectively help enterprises to recruit employees, through the comprehensive analysis of the attributes and innovative behaviour of employees, to achieve the accurate identification of employee potential, and then screen out high-quality talents with innovative ability for enterprises. © 2024 ieee.

关键词： Adversarial machine learning

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Analysis and Research on distributed Power Generation systems 3

Analysis and Research on Distributed Power Generation System...

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3rd international conference on New Energy and Power Engineering, ICNEPE 2023

作者： Liang, Jiyi Luo, Binhao Jiangmen Polytechnic Intelligent Manufacturing and Equipment College Jiangmen China

ISBN: (纸本)9798350393224

distributed power generation systems are usually located near the power consumption site and use smaller generator sets. The article lists the use of wind, solar photovoltaic, gas turbine and fuel cell hybrid devices as the main power generation methods, forming a complementary power generation system for wind and solar energy that can meet the needs of specific users. The intelligent wind solar complementary power generation system, composed of batteries, solar panels, wind turbines, and controllers, has the advantages of environmental protection, low pollution, and low losses caused by long-distance transmission. It is a new trend in the development of new energy. © 2023 ieee.

关键词： Battery distributed power generation solar photovoltaic complement each other Wind energy

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An Intelligent Intrusion Detection using Rule-based CNN with PSO Optimizer 3

An Intelligent Intrusion Detection using Rule-based CNN with...

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3rd international conference on Artificial Intelligence For Internet of Things, AIIoT 2024

作者： Karpurasundharapondian, P. Selvi, M. Thangaramya, K. Santhosh Kumar, S.V.N. Kannan, A. Vellore Institute of Technology School of Computer Science and Engineering Vellore India Vellore Institute of Technology School of Computer Science Engineering and Information Systems Vellore India

ISBN: (纸本)9798350372120

Security and secure routing are important design issues in the design of Wireless sensor Networks (WSNs). Intrusion Detection systems (IDSs) are useful for securing the communication in WSNs. An IDS can be developed by using machine learning based approach. On the other hand, it can be developed using a deep learning classification algorithm. Optimization techniques including Particle Swarm Optimization (PSO) are useful for choosing optimal features from given dataset. This paper proposes an extended CNN algorithm by extending the existing CNN classifier with rules, SVM and PSO named Rule Extended CNN with SVM (RE-SVM-CNN) for developing this IDS which reduces the false alarm rate by enhanced detection accuracy. © 2024 ieee.

关键词： Wireless sensor networks

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A Modified Disturbance Observer Based Speed sensor-less Control of Syn-Rel Motor for Electric Vehicles with Solar PV and Grid Support 3

A Modified Disturbance Observer Based Speed Sensor-less Cont...

引用

3rd ieee international conference on Power Electronics, Intelligent Control and Energy systems, ICPEICES 2024

作者： Mishra, Saurabh Singh, Bhim Indian Institute of Technology Delhi Department of Electrical Engineering New Delhi Hauz Khas110016 India

ISBN: (纸本)9798350387193

Speed sensor less control is an efficient technique for providing reliable, cost-effective, and stable drive system in electric vehicle (EV). Yet, obtaining accurate sensor-less control across the entire speed range poses a significant problem. This paper presents a modified disturbance observer (MDO) based speed sensor-less control of synchronous reluctance (Syn-Rel) motor. The presented technique utilizes the active flux (AF) concept of the Syn-Rel motor, which eliminates the variations in the estimated flux from the cross-coupling. The presented system's robustness is enhanced by its insensitivity to DC bias and high-frequency noise. The speed and position are estimated with enhanced quadrature PLL (e-QPLL) technique. In comparison to conventional and other speed estimation techniques, the presented technique is with minimal speed and position error. The presented system is integrated with solar PV array and grid for augmenting battery performance. The battery performance and range are improved utilizing roof mounted solar panel under running and at rest condition of the vehicle. Moreover, performance is also improved with battery charging using installed voltage source converter (VSC) acting as an on-board charger under standstill condition. The system is analysed and validated using MATLAB software. A comprehensive depiction of EV dynamics with improved motor battery performance is included. © 2024 ieee.

关键词： MATLAB

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Autonomous Obstacle Avoidance and Navigation Method For Unmanned Aerial Vehicles Based on Multi-sensor Fusion Algorithm 3

Autonomous Obstacle Avoidance and Navigation Method For Unma...

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3rd international conference on Energy and Electrical Power systems (ICEEPS)

作者： Jin, Min Tao, Jun Qiu, Zhen Bai, Jingpo Liang, Chong Li, Xiaoning State Grid Informat & Commun Grp Co Ltd State Grid Corp China Beijing 100021 Peoples R China Anhui Jiyuan Software Co Ltd State Grid Corp China Hefei 230000 Peoples R China

ISBN: (纸本)9798350375145;9798350375138

With the rapid development of smart grid technology, power inspection work is facing unprecedented challenges and opportunities. Traditional inspection methods are not only inefficient, but also difficult to cover complex power environments. As an efficient and flexible inspection tool, drones have gradually become an important force in the field of power inspection. However, in the process of power inspection, due to the complex and ever-changing environment and numerous obstacles, how to achieve autonomous obstacle avoidance for drones has become an urgent problem to be solved. This paper proposes an autonomous obstacle avoidance method for unmanned aerial vehicles based on multi-sensor fusion. By using an improved Bayesian fusion algorithm, the point cloud information obtained from two-dimensional LiDAR and depth camera is fused to compensate for the shortcomings of a single sensor in detecting complex structures of power lines. The experimental results show that this method significantly improves the perception accuracy of drones in the surrounding environment during power inspection, with a root mean square error of less than 0.05m for fused point clouds, and has good obstacle avoidance effect. During the testing process, the distance between the drone and obstacles was maintained at 0.5m or more, ensuring the safe flight of the drone during power inspection and providing effective technical support for the inspection work of the smart grid.

关键词： Multi sensor information fusion Bayesian fusion algorithm Autonomous obstacle avoidance of drones

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Toward robust systems against sensor-based adversarial examples based on the criticalities of sensors. 3

Toward robust systems against sensor-based adversarial examp...

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3rd ieee international conference on AI in Cybersecurity, ICAIC 2024

作者： Kurniawan, Ade Ohsita, Yuichi Murata, Masayuki Osaka University Graduate School of Information Science and Technology Department of Information Networking Osaka Japan Osaka University Cybermedia Center Osaka Japan

ISBN: (纸本)9798350381856

In multi-sensor systems, certain sensors could have vulnerabilities that may be exploited to produce AEs. However, it is difficult to protect all sensor devices, because the risk of the existence of vulnerable sensor devices increases as the number of sensor devices increases. Therefore, we need a method to protect ML models even if a part of the sensors are compromised by the attacker. One approach is to detect the sensors used by the attacks and remove the detected sensors. However, such reactive defense method has limitations. If some critical sensors that are necessary to distinguish required states are compromised by the attacker, we cannot obtain the suitable output. In this paper, we discuss a strategy to make the system robust against AEs proactively. A system with enough redundancy can work after removing the features from the sensors used in the AEs. That is, we need a metric to check if the system has enough redundancy. In this paper, we define groups of sensors that might be compromised by the same attacker, and we propose a metric called criticality that indicates how important each group of sensors are for classification between two classes. Based on the criticality, we can make the system robust against sensor-based AEs by interactively adding sensors so as to decrease the criticality of any groups of sensors for the classes that must be distinguished. © 2024 ieee.

关键词： Redundancy

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Development of Efficient Wireless sensor Network for IoT Applications 3

Development of Efficient Wireless Sensor Network for IoT App...

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3rd international conference on Pervasive computing and Social Networking, ICPCSN 2023

作者： Shankar, S. Deepika, G. Devi, G. Ramesh, S. Srivastava, Suraj Kumar, S Sandeep Sri Krishna Arts and Science College Department of Electronics and Communication Systems Tamil Nadu Coimbatore641008 India St. Peter's Engineering College Department of Electronics and Communication Engineering Telangana Hyderabad500100 India Psna College of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu Dindigul624622 India Institute of Artificial Intelligence and Machine Learning Saveetha University Depattment of Computational Intelligence Tamil Nadu Chennai602105 India I.K. Gujral Punjab Technical University Department of Computer Science and Engineering Mohali Campus-1 Punjab Sahibzada Ajit Singh Nagar160055 India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Vaddeswaram522502 India

ISBN: (纸本)9798350322842

This research study provides an overview of the effort that went into developing reliable 'Wireless sensor networks' for IoT applications, including both theoretical study and practical testing. The report also includes the findings of an analysis of variance and regression analysis, which pinpoint the significance of such aspects as network architecture, traffic load, and ambient conditions on the performance of Wireless sensor Network (WSN). Finally, study provides a discussion on the future research directions, as well as the design and implementation of a Wireless sensor Network (WSN) for Internet of Things (IoT) applications. © 2023 ieee.

关键词： Electric power utilization

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sensorDAO: A New Framework of sensor Governance for Internet of Vehicles 3

SensorDAO: A New Framework of Sensor Governance for Internet...

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3rd ieee international conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： Liu, Yuhang Jiang, Tai Li, Juanjuan Ding, Wenwen Wang, Fei-Yue Chinese Academy of Science Institute of Automation Beijing China Macau University of Science and Technology Faculty of Innovation Engineering China Macau University of Science and Technology Macao Institute of Systems Engineering China

ISBN: (纸本)9798350318470

High-performance sensors play a crucial role in IoV (Internet of Vehicles) to achieve advanced autonomous driving. Typically, IoV involves extensive data sharing and centralizes data storage, posing significant security challenges for sensors. Although blockchain offers a decentralized platform for data exchange, it can't guarantee the reliability and trustworthiness of each sensor in IoV. Besides, blockchain primarily focuses on technical aspects and falls short of establishing a comprehensive organizational and operational framework for sensors. To address these challenges, we introduce the concept of DAO (Decentralized Autonomous Organization and Operation) into sensors and propose a new framework for reliable sensor operations in IoV, namely sensorDAO. It utilizes the collaboration of on-chain and off-chain layers to support various scenarios at the application layer. We also provide key technical elements to construct sensorDAO, including distributed storage, intelligent algorithms, governance, and incentive mechanisms. © 2023 ieee.

关键词： Blockchain

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