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Greedy networking in Cryptocurrency Blockchain 37th

Greedy Networking in Cryptocurrency Blockchain

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37th IFIP TC 11 international conference on ICT Systems Security and Privacy Protection (IFIP SEC)

作者： Wuthier, Simeon Chandramouli, Pranav Zhou, Xiaobo Chang, Sang-Yoon Univ Colorado Dept Comp Sci Colorado Springs CO 80907 USA

ISBN: (纸本)9783031069758;9783031069741

Proof of work (PoW) is a widely adopted distributed consensus protocol which enables cryptocurrency transaction processing without a trusted third party. The miners are financially incentivized to participate in the PoW consensus protocol, and PoWrelies on the underlying peer-to-peer (P2P) networking for receiving and transmitting the transactions and the up-to-date blocks (which are the inputs for the PoW consensus protocol). We study the rational miner strategy but control an orthogonal parameter from those in the previous blockchain research, which has studied the control of the mining power or the timing of the block submissions (e.g., selfish mining or block withholding). More specifically, we study greedy networking, in which a miner node increases its connectivity beyond the default protocol to expedite the deliveries of blocks and transactions for an unfair mining advantage. While greedy networking has been actively studied in the general P2P networking, it has not been systematically studied in cryptocurrency and blockchain despite the alleged real-world instances by the Bitcoin community. We build an analytical framework for greedy networking and study how the networking control impacts the cryptocurrency application to quantify the benefits and costs of the networking control. To demonstrate the use of our framework, we implement a greedy networking prototype based on an active Bitcoin node connected to the Mainnet while simulating different miner capabilities by varying the computing backend of the miner. In contrast to the previous belief in blockchain and cryptocurrency, we discover that the optimal number of connections is bounded (limiting the greedy behavior) and depends on the hash computing capability of the miner.

关键词： Blockchain Bitcoin Peer-to-peer networking Proof of Work (pow) Mining Rational strategy Greedy networking

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Synergical Model for Proactive Intrusion Detection System in Software Defined networking 15

Synergical Model for Proactive Intrusion Detection System in...

引用

15th international conference on computing communication and networking Technologies, ICCCNT 2024

作者： Bose, S. Maheswaran, N. Karthika, S. Logeswari, G. Anitha, T. Prabhu, D. Ceg Anna University Department of Cse Chennai India Ssn Anna University Department of It Chennai India School of Cse Vit Chennai Campus Chennai India Sathyabama Institute of Science & Technology Department of Cse Chennai India Anna University Department of Cse Regional Campus Coimbatore India

ISBN: (纸本)9798350370249

In Software Defined networking (SDN), the Intrusion Detection System (IDS) dynamically analyzes network traffic and detects the presence of suspicious activities or potential security breaches. Leveraging SDN's centralized control and programmability, the IDS can promptly respond to threats by enforcing security policies and reconfiguring network elements as needed. In the SDN framework, the IDS employs Machine Learning (ML) algorithms to examine network traffic patterns and detect anomalies that could signal potential security breaches. Through continuous real-time monitoring and analysis, the system automatically alerts administrators to suspicious behavior, thereby improving overall network security. Integrating real-time SDN data collection with the InSDN dataset enables the creation of a pseudo-labeled dataset, facilitating semi-supervised learning approaches for improved network intrusion detection. This novel approach leverages both real-time observations and historical data to improve the precision and adaptability of IDSs in dynamic network environments. The primary emphasis of this research work lies in binary-level classification, with multi-label classification being beyond its scope. The novelty resides in devising a model adept at handling both static and dynamic datasets seamlessly. Through the fusion of quadratic discriminator analysis and autoencoder techniques, the proposed system achieves an impressive accuracy of 9 2. 5% in classification tasks. This outcome underscores the efficacy of employing discriminative and generative approaches for robust data analysis. © 2024 IEEE.

关键词： autoencoder hybrid ensemble model intrusion detection system pseudo labeling Software defined networking

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IoT-Enabled Black Box for Driver Behavior Analysis Using Cloud computing

IoT-Enabled Black Box for Driver Behavior Analysis Using Clo...

引用

2024 international conference on advances in Data Engineering and Intelligent computing Systems, ADICS 2024

作者： Jegan, J. Suguna, M. Raja Shobana, M. Azath, H. Murugan, S. Rajmohan, M. School Of Technology The Apollo University Department Of Computer Science And Engineering Andhra Pradesh Chittoor India Rmk College Of Engineering And Technology Department Of Computer Science And Engineering Tamil Nadu Chennai India Srm Institute Of Science And Technology Department Of Networking And Communication Chennai Tamil Nadu Kattankulathur India School Of Computing Science And Engineering Vit Bhopal University Bhopal India Saveetha School Of Engineering Saveetha Institute Of Medical And Technical Sciences Saveetha University Department Of Computer Science And Engineering Tamil Nadu Chennai India Hindustan Institute Of Technology And Science Department Of Electronics And Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350364828

The Internet of Things (IoT)-powered black box for advanced driver behavior analysis and vehicle safety is a revolutionary strategy for improving driver behavior and road safety via the use of black boxes powered by the Internet of Things. This project captures realtime data on driving behavior, encompassing characteristics such as speed, acceleration, braking, and adherence to lanes via the seamless integration of IoT technologies into the vehicle's black box. It does this by providing in-depth insights into drivers' behaviors, which encourages adopting safe driving practices thanks to the advanced data analytics it employs. In addition to its behavior monitoring capabilities, the IoT-driven black box enhances the vehicle's safety by including collision detection technologies. If an accident occurs, the system immediately sends an alert, communicating the severity of the collision and the exact GPS locations to the emergency services, which speeds up the process of responding to the incident. This attempt combines cutting-edge Internet of Things capabilities with vehicle safety to develop responsible driving behaviors and, eventually, a safer highway environment for all parties involved. This invention can modify driving norms thanks to its comprehensive approach, highlighting the potential of technology-driven solutions in promoting safer roadways. © 2024 IEEE.

关键词： Vehicle safety

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Performance Analysis of Speed control of Induction Motor Using Improved Hybrid Indirect Vector control 4

Performance Analysis of Speed Control of Induction Motor Usi...

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4th international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2024

作者： Yadav, Arpit Das, Ranjay Roy, Ganesh Central Institute of Technology Kokrajhar Department of Electrical Engineering Assam B.T.R. Kokrajhar783370 India Central Institute of Technology Kokrajhar Department of Instrumentation Engineering Assam B.T.R. Kokrajhar783370 India

ISBN: (纸本)9798350343670

The induction motor is very popular right now, especially for industrial and household applications. The advancement of variable speed drive technology is both stunning and acceptable. Due to their durability and low maintenance requirements, induction motors are being used more and more in a variety of industries where the majority of applications require quick response times and sophisticated speed control. The main obstacle is getting high efficiency and maximum torque for speed control. This research introduces the formulation of the speed control as well as the speed control approaches. In this research, a hybrid speed-control system for a three-phase wound rotor induction motor is presented. The proposed approach applies vector control and combines FOC with conventional controllers. This method, which combines the advantages of conventional controllers with FOC, improves the speed responsiveness of the three-phase induction motor. Performance of the hybrid system controller is assessed using simulation results and implementation of proportional integral - field oriented control (PI-FOC). Performance indicators like rising time, maximum percent overrun, and settling time are noted under various load circumstances. The results showed enhanced speed tracking performance, system stability, and the efficacy of the suggested hybrid speed controller under a variety of operating circumstances by using MATLAB/ Simulink. © 2024 IEEE.

关键词： Indirect Vector control Induction Motor PI controller Speed control Torque control

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Forest Fire Detection using AI 15

Forest Fire Detection using AI

引用

15th international conference on advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Kandhari, Arnav Ginkal, Priyanshu Mohan Kalaiselvi, K. Department of Networking and communications SRM Institute of Science and Technology Kattankulathur Tamil Nadu Chennai603203 India Faculty of Engineering and technology Department of Networking and communications SRM Institute of Science and Technology Kattankulathur Tamil Nadu Chennai603203 India

ISBN: (纸本)9798331300579

Forests are crucial resources for human existence and social progress because they safeguard the earth's natural ***, forest fires occur regularly as a result of unmanaged human activities and erratic environmental *** fires are the most destructive natural disasters to forest resources and the human *** fires have become more common in this scenario as a result of climate change, human activity, and other *** fire detection and monitoring has become a global problem for forest fire prevention ***, forest fire detection methods mostly include vigils, observation from watch towers, and, more recently, satellite *** observation from watch towers is simple and feasible, there are various *** and foremost, this strategy requires Keywords - Wireless sensor networks(WSN), Computer vision, aerial vehicles(UAV), YOLO, Internet of things(IOT), Moderate Resolution Imaging Spectroradiometer(MODIS), mAP (mean Average Precision) Many financial and material resources, as well as a skilled labour ***, there are numerous issues with fire protection manpower, such as inattention, absenteeism from the post, a lack of real-time monitoring capability, and limited area coverage.A variety of parameters limit the spectrum of use of satellite detection systems, reducing their efficiency in forest fire detection.A satellite monitoring system, for example, has a long scanning period and a low resolution of saturated pixel dots of *** issue is that cloud layers might obscure photos during the scanning process, and real-time quantitative quantification of fire parameters is extremely difficult to *** the limitations of traditional monitoring, we propose a cloud-based wireless sensor network technology and Explain how it can be used as a monitoring *** system can monitor real-time related parameters such as temperature and relative humidity and promptly tr

关键词： Watches

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CC Link IE Based Remote Monitoring and control of Windmills Using Slot Type controller 10

CC Link IE Based Remote Monitoring and Control of Windmills ...

引用

10th international conference on Advanced computing and communication Systems, ICACCS 2024

作者： Jagatap, Govind Vishwanath Ingale, Sanjaykumar Patil, Deepak T. Mane, Atish Bandpatte, Sagar Chandu Hariharan, R. Bharati Vidyapeeth College of Engineering Department of Mechanical Engineering Navi Mumbai400614 India Sanjay Ghodawat University Department of Mechanical Engineering Kolhapur India Bharati Vidyapeeth college of Architecture Navi Mumbai India Bharati Vidyapeeth College of Engineering Department of Mechanical Engineering Pune Lavale India Bharati Vidyapeeth Deemed to be University College of Engineering Department of Chemical Engineering Pune India Sri Eshwar College of Engineering Department of Electrical and Electronics Engineering Coimbatore641 202 India

ISBN: (纸本)9798350384369

There are millions of wind mills are operated in the world and producing the electricity to meet out the demand. Generation of electricity and the transmission of the same is an easy one to all the power sector companies or power engineers. But the monitoring of windmills from the remote location and exchanging the data between the control station and the windmill is somehow tedious task. Even though the wireless communication and SCADA are implemented in most of the windmills, the lack of speed or data transmission and acquisition of real time data without any dead band is a challenging one. In ordered to over this drawback, CC-Link IE based wired transmission is introduced. It uses the modular master controller called 'R04 CPU', CC-Link networking module and few remote I/O Modules near the windmill station. It reduces the loss of data and improves the communication speed, data handling capacity and security. © 2024 IEEE.

关键词： SCADA systems

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Enhanced Neural Network Model Predictive control based on TLBO algorithm: Applied to speed control of PMSM

Enhanced Neural Network Model Predictive control based on TL...

引用

2024 international conference on advances in Electrical and communication Technologies, ICAECOT 2024

作者： Stiti, Chafea Aouaichia, Abdelhadi Benrabah, Mohamed Kara, Kamel Blida1 University Laboratoire des systèmes électriques et télécommande Blida Algeria Usthb University Laboratoire de robotique Parallélisme et systemes embarqués Alger Algeria

ISBN: (纸本)9798350353754

This paper proposes an enhanced neural network model predictive control based on the teaching learning-based optimization algorithm, for the speed control of the permanent magnet synchronous motor. The objectives of this strategy are firstly, to solve the online computational problem and the nonconvex solution of model predictive control, using neural network identification and online metaheuristic optimization, secondly, to improve computational efficiency, real-time applicability and tracking accuracy of the conventional neural network model predictive control based on the teaching learning-based optimization algorithm using the proposed contribution of adding a sequence of reduction weighting coefficients to its cost function, over the prediction horizon. To assess the efficiency of the proposed control algorithm, a comparative study with the conventional neural network model predictive controller based on the teaching learning algorithm, is done. The mean square error, mean absolute error, root mean square error and computing time of the speed response of the PMSM are calculated and analyzed for the both *** obtained results demonstrate that the proposed control algorithm gives better control performance than the other controller. © 2024 IEEE.

关键词： Predictive control systems

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IoT based Intelligent Parking System for Smart Cities 8

IoT based Intelligent Parking System for Smart Cities

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8th IEEE international conference on computing, communication, control and Automation, ICCUBEA 2024

作者： Narsingoju, Bhavana Jain, Rajashree Khurana, Bali Shankar Symbiosis Institute of Computer Studies and Research Symbiosis International University Pune India Pimpri Chinchwad College of Engineering Mca Department Pune India

ISBN: (纸本)9798350391770

In the era of smart cities with Internet of Things every time there is a need of innovative and sustainable solutions for parking and smart cities management. The solutions which are developed are not sufficient enough to derive the best and sustainable outcomes. In densely populated areas in metro cities with high compactness, due to the insufficiency of parking space, many vehicles navigate searching for available parking spaces, requiring time to locate a suitable parking spot. The search for parking leads to various challenges like consumption of time, fuel consumption, traffic congestion, air pollution, and stress on drivers. The implementation of an intelligent parking system gives solutions to optimize the time, reduce fuel consumption and carbon emission and most importantly keep drivers free from *** main objective of this paper is to perform comprehensive study and present the analysis of Intelligent parking systems on the basis of networking technologies, various technical and computational approaches, user interfaces and services provided. This study will provide the clear idea of a design for sustainable intelligent parking system in various environments having its advantages, disadvantages, and research gap. Future scope of this work is to provide the opportunity to researchers, policy makers and other stakeholders to design and implement intelligent parking system in metro cities. © 2024 IEEE.

关键词： Sustainable city

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Algorithm for compiling an examination timetabling at a higher education institutions 14

Algorithm for compiling an examination timetabling at a high...

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14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Rashidova, Fatme Rashidov, Aldeniz Technical University of Gabrovo Department of Automation Information and Control Systems Gabrovo Bulgaria

ISBN: (纸本)9798350335095

Developing an automated examination timetabling (ET) in a higher education institution is a complex multi-criteria task. To automate this process, it is first necessary to create an algorithm for compiling the ET. When compiling a ET in a higher education institution, the organization of studies in the institution itself must be considered. In this paper, a flowchart of an algorithm for compiling an automated ET in a higher education institution is presented. Automating the process of ET compilation, based on this algorithm, will lead to a higher quality of training. If all the requirements and constraints of ET compilation are met, then one can also argue for satisfaction with ET compilation. In addition to this, finding optimal solutions in composing ET in the future can lead to a higher quality of composing ET, an increase in the quality of learning and to a higher satisfaction of the main agents (students and teachers). © 2023 IEEE.

关键词： Automation

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Routing Scalability in Named Data networking 4

Routing Scalability in Named Data Networking

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4th international conference on advances in computing, communication control and networking, ICAC3N 2022

作者： Deepa, S. Nivetha, S. Thulasi Lakshmi, K. Selvan, Emil G S R Ramkumar, M.P. Thiagarajar College of Engineering Department of Computer Science and Engineering Madurai India

ISBN: (纸本)9781665474368

Named Data network consists of three data structures for forwarding the incoming Interest packets. Whenever the interest packet arrives, it has to search in the pending interest table and the content store. When a large amount of interest packet arrives, the time required to search the matching content in the pending Interest table can be increased. And also, as the size of Content Store is limited, it will be difficult to satisfy the incoming interest packets' needs. So the interest packets in the content store have to be replaced. In this paper, Optimal Content Store with tree based approach is proposed and is compared with Optimal Content Store without tree based approach. The comparison shows that packet drop rate and delay is comparatively reduced in Optimal Content store with tree based approach. © 2022 IEEE.

关键词： component formatting insert (key words) style styling

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