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Attack Detection in IoT using RF and ANN

Attack Detection in IoT using RF and ANN

引用

Smart Information systems and Technologies (SIST), ieee international conference on

作者： Aigul Adamova Tamara Zhukabayeva Nurgalym Adamov Department of Computer Engineering Astana IT University Astana Kazakhstan Faculty of Information Technology L.N. Gumilyov Eurasian National University Astana Kazakhstan Astana International University Astana Kazakhstan

ISBN: (数字)9798350374865

ISBN: (纸本)9798350374872

Internet of things (IoT) devices are the weak link in organizing a Wireless sensor Network. Various Attacks on IoT devices can lead to different complex consequences. Real applications of the IoT generate a large amount of data every second, the confidentiality of which is of very high value. therefore, detecting attacks in IoT interactions is of paramount interest from both science and industry. Among various attack detection approaches, machine learning methods show great potential due to their early detection ability. the paper presents a methodology for detecting attacks based on two machine learning methods: Random Forest (RF) and Artificial Neural Network (ANN). To conduct the experiment, various data sets were considered, the descriptions of which are given in the work. the experiment was carried out using open data sets obtained from real IoT devices. As a result, RF demonstrated a high accuracy of 98.6%.

关键词： Training Performance evaluation Wireless sensor networks Accuracy Training data Artificial neural networks Internet of things

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Analysis of a sensor Switching Approach for State Estimation with Applications to Electrochemical Power Converters and Energy Storage systems

Analysis of a Sensor Switching Approach for State Estimation...

引用

international conference on systems and Control (ICSC)

作者： Andreas Rauh Marit Lahme Department of Computing Science Group: Distributed Control in Interconnected Systems Carl von Ossietzky Universität Oldenburg Oldenburg Germany

Equivalent circuit models for fuel cell stacks as well as for the series connection of battery cells are characterized by multiple series-connected RC sub-networks. In practical applications, for example, when aiming at the aging detection and monitoring of the individual cells in a fuel cell stack, it is desired to estimate the individual state variables of each of these series-connected cells. the same holds true for battery management systems that are dedicated to the state of charge (resp., voltage) equalization in a series connection of multiple battery cells. However, the pure knowledge of the current through this series connection as well as the sum over all terminal voltages is insufficient to make the overall system model fully observable. To efficiently observe the state variables in each of the series-connected subsystems, we aim at avoiding the measurement of the voltages of each individual fuel (resp., battery) cell. Instead, this paper presents a systematic sensor switching strategy which allows for estimating the individual state variables of all series-connected subsystems in an Unscented Kalman Filter framework. Simulation results are presented to compare the achievable estimation accuracy with a scenario in which all cell (resp., terminal) voltages were measured simultaneously.

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A Smart Farming Solution for Greenhouse Environment Control Using PIC16F877

A Smart Farming Solution for Greenhouse Environment Control ...

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international conference on Embedded & distributed systems (EDiS)

作者： Mohammed Amine Zafrane Houari Aoued Adda Adel Belherazem Electronic department Signal System and Data Lab University of Science and Technologies of Oran-Algeria Electronic department University of Science and Technologies of Oran-Algeria automatic department University of Science and Technologies of Oran-Algeria

ISBN: (数字)9798331519872

ISBN: (纸本)9798331519889

this research focuses on the development of a measurement and control system for the main parameters of agricultural greenhouses, based on the PIC16F877 microcontroller. Installed at the University of Oran 1, the system utilizes temperature, humidity, and light sensors to monitor the greenhouse environment. A measurement and control system is already installed, and we have developed a low cost and reliable redundancy for it. the results obtained are accurate with an acceptable tolerance of 1.2% for temperature and 2.4% for humidity. Relays have been implemented to control the direction and speed of the fans, ensuring optimal conditions within the greenhouse. After validating the board through several tests and calibrations, a commercial PCB version was produced using open source EasyEDA software for the design. To enhance data dissemination and contribute further, a WiFi module with a protocol for communication will be added, introducing a smart agricultural greenhouse.

关键词： Temperature sensors Temperature measurement Smart agriculture Accuracy Greenhouses Humidity Control systems sensor systems Relays Wireless fidelity

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Byzantine Fault-Tolerant distributed Passive Localization with Dual-Layer Data Fusion

Byzantine Fault-Tolerant Distributed Passive Localization wi...

引用

Control theory and Applications (ICoCTA), international conference on

作者： Zijian Song Jing Zhu College of Automation Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (数字)9798331506155

ISBN: (纸本)9798331506162

this paper proposes a distributed passive localization system that utilizes dual-layer data fusion through smart contracts to enhance the accuracy and security of positioning in the presence of Byzantine nodes. Firstly, the system groups sensors based on distance and utilizes passive sensors for Angle of Arrival (AOA) measurements, ensuring both precise localization and operational concealment. Communication between nodes is based on blockchain technology, with encryption algorithms and hash signatures safeguarding data security. Subsequently, the proposed method sequentially carries out intra-group and inter-group data fusion, effectively detecting and mitigating the influence of Byzantine nodes, leading to highly accurate position estimations. Finally, the Practical Byzantine Fault Tolerance (PBFT) algorithm ensures consensus on the positioning results across all nodes. Experimental validation and analysis demonstrate that the proposed approach significantly enhances the accuracy, robustness, and security of distributed localization in adversarial environments, offering a reliable solution for applications requiring high levels of trust and precision.

关键词： Location awareness Fault tolerance Accuracy Smart contracts Fault tolerant systems Data integration Estimation sensor systems Blockchains Intelligent sensors

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A Lightweight Real-time Multi-sensor Fusion State Estimation Method Based on Event Camera in Challenging Scenarios

A Lightweight Real-time Multi-sensor Fusion State Estimation...

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Artificial Intelligence, Robotics, and Communication (ICAIRC), ieee international conference on

作者： Tian Lan Huazhang Zhu Huiliang Shang Information Science and Technology Fudan University China

ISBN: (数字)9798331531225

ISBN: (纸本)9798331531232

State estimation refers to the integration of sensor input and observation information to estimate the current state of a robot, such as its position and orientation. However, achieving robust and accurate state estimation in challenging scenarios remains an urgent problem to solve. In this paper, we propose a novel Event-Visual-Inertial Odometry (EVIO) method that tightly couples event data, standard images, and inertial measurements. this method fully leverages the excellent complementary characteristics of multi-sensor fusion to estimate the ego-motion of sensors in challenging scenarios such as High Dynamic Range (HDR), low light, and motion blur caused by vigorous motion. In challenging benchmark experiments, our method outperforms state-of-the-art methods by 16%, and this achievement does not rely on extensive manual parameter tuning. Lastly, we qualitatively demonstrate the accuracy and robustness of our method for real-time state estimation across different scales and types of challenging scenarios.

关键词： Accuracy Robot sensing systems Robustness Real-time systems Odometry State estimation Streams Standards Optical flow Tuning

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Enhanced Locational FDIA Detection in Smart Grids: A Scalable distributed Framework

Enhanced Locational FDIA Detection in Smart Grids: A Scalabl...

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Workshop on Smart Grid and Renewable Energy (SGRE)

作者： Maymouna Ez Eddin Mohamed Massaoudi Mohammad Shadmand Mohamed Abdallah Department of Electrical and Computer Engineering Texas A&M University at Qatar Doha Qatar Department of Electrical and Computer Engineering Texas A&M University College Station USA Department of Electrical and Computer Engineering University of Illinois at Chicago Chicago USA Information and Computing Technology Division Hamad Bin Khalifa University Doha Qatar

Locational detection of the false data injection attack (FDIA) is essential for smart grid cyber-security. However, the FDIA detection techniques often falter in scalability as power network complexity increases. To address the research gap, this paper introduces an innovative distributed framework for locational FDIA detection that optimizes both performance and scalability. the proposed framework initially partitions the power grid using the improved Louvain community detection algorithm. the proposed solution utilizes the Electrical Functional Strength (EFS) matrix and power supply modularity. Subsequently, a dedicated multi-label one-dimensional convolutional neural network model (1D CNN) locational detector is designed for each derived cluster. the proposed methodology is designed to increase detection accuracy and enhance the scalability of the model. this is achieved by reducing training and detection times, as well as lowering memory requirements, compared to traditional centralized approaches. the effectiveness of the proposed framework is validated through simulations on the ieee 39-bus system. these simulations demonstrate the framework’s capability to enhance detection accuracy by simplifying the locational FDIA detection challenge, achieved through strategic grid partitioning.

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the robust-optimization operation strategy of the electro-thermal integrated energy system 4

The robust-optimization operation strategy of the electro-th...

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4th ieee China international Electrical and Energy conference, CIEEC 2021

作者： Lin, Tingjun Dong, Kun Zhao, Jianfeng Yu, Yue Wang, Jin Southeast University School of Electrical Engineering Nanjing China State Grid Taizhou Power Supply Company Taizhou China

ISBN: (纸本)9781728171494

Integrated energy system (IES) takes multi-energy complementation and energy ladder utilization as the core, emphasize the 'ubiquitous interconnection' between different energy systems and the interaction of information & energy flow. this article aims to build a new type of robust-optimization operation strategy of electro-thermal IES, where the robust coefficient for expressing the uncertainty of wind turbine output characteristic. the proposed IES taking into account the conversion of natural gas and electric power, the user-side demand response and the real-time transaction in the energy market, and the simulated objective are obtained from the combined objective of economy, environmental, energy efficiency utilizing the entropy weight method. the results express that the proposed IES is reasonable and practical, suggesting an IES scheduling plan while providing a reference to market pricing and related policies. © 2021 ieee.

关键词： distributed power generation

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Optimized Live 4K Video Multicast Streaming on Commodity WiGig Devices

Optimized Live 4K Video Multicast Streaming on Commodity WiG...

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international conference on distributed computing systems

作者： Zhaoyuan He Changhan Ge Wangyang Li Lili Qiu Peijie Li Ghufran Baig The University of Texas at Austin Austin TX United States of America Microsoft Research Asia Shanghai People's Republic of China Google Austin TX United States of America

ISBN: (数字)9798350386059

ISBN: (纸本)9798350386066

the popularity of 4K videos is on the rise. However, streaming such high-quality videos over mm Wave to several users presents significant challenges due to directional communication, fluctuating channels, and high bandwidth demands. To address these challenges, this paper introduces an innovative 4K layered video multicast streaming system. We (i) develop a video quality model tailored for layered video coding, (ii) optimize resource allocation, scheduling, and beamforming based on the channel conditions of different users, and (iii) design a streaming strategy that integrates fountain code to eliminate redundancy in multicast groups, coupled with a Leaky-Bucket approach for congestion control. We implement our system on Commodity-Off- the-Shelf (COTS) WiGig devices and demonstrate its effectiveness through comprehensive testbed and emulation experiments.

关键词： Video coding Scheduling algorithms Source coding Redundancy Emulation Dynamic scheduling Quality assessment

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Research on End-to-End Encryption Algorithm Design System Integrating Computer Wireless Communication Technology

Research on End-to-End Encryption Algorithm Design System In...

引用

Electronic Technology, Communication and Information (ICETCI), ieee international conference on

作者： Lei Zhang Ling Feng Xiqiang Duan Taishan University Tai’an China

ISBN: (数字)9798350361643

ISBN: (纸本)9798350361650

this article introduces an end-to-end encrypted wireless measurement and control system with enhanced security features. Utilizing XOR and escape codes, the transmitter encrypts data before transmission. Leveraging LoRa technology, the system communicates with the receiver, incorporating mechanisms like frame breaking, CRC checks, error retransmissions, and timeouts to ensure message integrity and confidentiality. Testing and programming a method have demonstrated its high encryption efficiency, strong security, and the use of compact keys, aligning well with user requirements. Notably, the method enhances the security capabilities of wireless communication systems and shows great potential in safeguarding sensitive data across various industries due to its ease of implementation and effectiveness.

关键词： Wireless communication Wireless sensor networks Privacy Transmitters Receivers Programming Encryption

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Availability Study of Atmospheric Gaussian Pulse Propagation with Normally distributed Time Jitter for Optical Wireless Communication systems 4

Availability Study of Atmospheric Gaussian Pulse Propagation...

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4th international conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom)

作者： Oreinos, D. Gripeos, P. J. Kapotis, E. Roditi, E. Nistazakis, H. E. Tombras, G. S. Natl & Kapodistrian Univ Athens Sect Elect Phys & Syst Dept Phys Athens 15784 Greece

ISBN: (数字)9781665485982

ISBN: (纸本)9781665485982

Free Space Optical communications are steadily emerging, due to the numerous and various benefits that they offer. Although FSO systems are based on a cheap, safe and efficient technology, there are many degrading effects that should be taken into account. In particular, long and fast links suffer from many existing effects, acting cumulatively, resulting in a not negligible deterioration of both performance and availability, as their length or bit rate increases. And that is because of the FSO pulse propagation through dispersive atmospheric channels, while short timed pulses are prone to be misdetected in adjacent time slots at the receiver, leading to disturbances in the bit stream, consequently. this work includes the estimation of FSO link performance, focusing on both the group velocity dispersion and the time jitter effects, calculated in terms of both probability of fade and outage probability, using closed form mathematical expressions. then, interesting numerical results and conclusions are presented for typical FSO links' parameters.

关键词： Optical wireless communications Group velocity dispersion Longitudinal Gaussian pulses Time jitter Normal distribution Probability of fade Outage probability

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