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Advancing IoT Security through Federated Learning: A Comprehensive Approach 3

Advancing IoT Security through Federated Learning: A Compreh...

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3rd international conference on Applied Artificial Intelligence and computing, ICAAIC 2024

作者： Mehta, Shiva Khurana, Meenu Dogra, Ayush Hariharan, Shanmugasundaram Chitkara University Centre for Research Impact and Outcome Punjab Rajpura140401 India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Vardhaman College of Engineering Department of Computer Science and Engineering Hyderabad India

ISBN: (纸本)9798350375190

IoT devices have changed into one of the mainstays in areas like houses, industry and education, resulting in a level of convenience and efficiency that has never been achieved before. Even though the most important advantage of the distributed network is raising the level of security, the problem of security vulnerabilities with the extended networks remains. This paper is devoted to a novel strategy of Federated Learning (FL) that could become an applied solution for enhancing the safety of the IoT. Therefore, based on its decentralized knowledge process, FL allows IoT devices to cooperate in achieving common purposes without endangering data pri vacy. The paper uses this thinking method to deal with scalability, model personalization, and non-IID data that aren't IID distributing, suggesting solutions through model aggregation techniques or Artificial Intelligence (AI). Experimental evidence highlights that FL is very useful in enhancing IoT security irrespective of the diversity of its applications. To this end, residents of smart homes experienced a 17% increase in detecting the anomalies through the setting up of FL. This situation was replicated in the industrial internet of Things, where the false positive rates were reduced from 20% to 5%, thus improving the system's efficiency. Furthermore, in the FL context in healthcare IoT ecosystems, this blazes a trail for privacy-preserving data analytics, preserving patient confidentiality and systematic profiling of noteworthy health trends. These findings thus demonstrate that FL is a feasible way of dealing with the security challenges of IoT scalable, promptly and in a manner that maintains user privacy. The article takes part in a conversation about ways to strengthen the security of IoT networks. Such a framework is based on the computational power of IoT devices. It allows us to detect and prevent threats in time. Nonetheless, it urges extensive R&D attempts to be introduced to develop better security solutio

关键词： internet of things

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Review on Advanced computing Control Techniques in BLDC Motors for Electrical Vehicles 3

Review on Advanced Computing Control Techniques in BLDC Moto...

引用

3rd international conference on Intelligent Data Communication Technologies and internet of Things, IDCIoT 2025

作者： Vara Prasad, K.S.R. Usha Reddy, V. Department of EEE S.V.U College of Engineering Tirupati India

ISBN: (纸本)9798331527549

Among all electrified transportation instruments, electric vehicles (EVs) garnered high mark lately and are becoming increasingly popular trends because they can both vie with and surpass vehicles powered by fossil fuel. Enhancing range of vehicle driving and minimizing energy utilization are the main goals of EV advancement. These are necessary goals that can only be met by enhancing and advancing motor performance. With the peak power density and capabilities compared with other motors, brushless direct current (BLDC) motor is best option for electric vehicles (EVs). In addition to their excellent performance in position and speed controls, BLDCs are becoming more and more common in EVs because they can smoothly maintain torque and reduce torque ripple. An overview of several advanced control strategies is given in this study, it also discusses the different fault that occur in BLDC motors and their mitigation strategies. In addition, current issues and challenges in developing torque ripple mitigation management systems are discussed, along with comparisons and recommendations for further research on electric vehicle technology. Lastly, the importance and possible consequences of BLDC motor drive in EVs with various control schemes are revealed via evaluation research. © 2025 IEEE.

关键词： Brushless DC motors

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Enhancing Application Placement in Cloud-Fog Environment Based on Multicriteria Decision Making 3

Enhancing Application Placement in Cloud-Fog Environment Bas...

引用

3rd international conference on Advanced Electrical Engineering, ICAEE 2024

作者： Arichi, Bochra Amraoui, Asma Dept. Computer science Tlemcen13000 Algeria Dept. Computer science Tlemcen13000 Algeria

ISBN: (数字)9798350349351

ISBN: (纸本)9798350349351

Fog computing (FC) is a distributed infrastructure computing that extends cloud computing (CC) capabilities to the edge of the network, closer to where data is generated and consumed. This approach responds to the challenges caused by internet of Things (IoT) applications, which generate massive amounts of data that are costly and time-consuming to send to the cloud for processing. By leveraging fog computing, the cloud's limitations were successfully addressed, such as unpredictable latency. However, this shift introduced a new challenge. One of these challenges is finding the best placement of applications on distributed fog devices. This paper outlines a study aimed at addressing this challenge by utilizing multi-criteria decision-making (MCDM) techniques, including the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). This study aims to choose the most appropriate fog nodes for positioning and processing application modules. The simulation was carried out on the iFogSim simulator, and the findings indicate that the suggested technique provides significant improvements in placement time and latency in a fog computing environment. © 2024 IEEE.

关键词： Fog computing

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Immersive Dramatic Space 3D Layout Using Panoramic Image Reconstruction Algorithm 3

Immersive Dramatic Space 3D Layout Using Panoramic Image Rec...

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3rd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Zhang, Jiao Wang, Shengzhi Zhang, Lidan Liu, Mengfei School Of Design And Product Jilin Animation Institute Changchun China

ISBN: (纸本)9798350318609

The relevance of 3D techniques in a wide range of applications, such as augmented Reality (AR), architecture, and other commercial fields, has made rapid 3D reconstruction of the environment an important research issue. In this research, speeded up robust features (SURF) a unique technology that can generate an estimated 3D model of the environment on a mobile smartphone in a matter of seconds. Large field-of-view images necessary for dependable and strong reconstruction are generated from a set of panoramic images captured by a very quick and adaptable algorithm. Dense, polygonal, textured representations are obtained by using a low-cost online space carving technique depend on Delaunay triangulation. Through the experimental result, this implemented method is compared with existing method of Panorama luminance attentive network (panoLANet) method. This implemented method's outcomes achieved better values of 30.50 of Peak signal-to-noise ratio (PSNR), 0.955 of structural similarity index measure (SSIM), 44.71 of Vendor Development Program (VDP), and 1.10 of Mean Squared Error (MSE). © 2024 IEEE.

关键词： Augmented reality

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A Blockchain Mining Proof of Work Approach Based on Fog computing Virtualization for Mobile CrowdSensing 3

A Blockchain Mining Proof of Work Approach Based on Fog Comp...

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3rd international conference on distributed computing and High Performance computing, DCHPC 2024

作者： Mahdi, Abbas Fadhil Rabee, Furkan University of Kufa Faculty of Computer Science and Mathematics Department of Computer Science Najaf Iraq

ISBN: (纸本)9798350381580

The most important and common consensus mechanism in the blockchain is the Proof-of-Work (PoW) algorithm, which requires a large amount of energy and consumes more time from the miners to reach a single distributed agreement by solving the hard puzzle to append a new block to the blockchain, in addition to the low throughput of accomplishing transactions. The paper proposed a parallel mechanism to implement the proof of work to increase the speed of the mining process by splitting the encryption hash range SHA256 (2256) into numerous subranges through utilizing the mobile crowdsensing (MCS) environment and virtualization in fog computing (FC). The fog virtualization-based Proof of Work (FV-PoW) method outperformed other methods and was very productive in the mining process, especially at targets with higher difficulty. To test this, the experimental work was done by making the mining difficulty 9 levels higher to find a difficult target. The mining process took a time of 81.6 sec at level 8 in comparison to the conventional approach, which consumed 6221 sec. At level 9, the solution was not traditionally obtained. Conversely, the suggested approach was able to find the solution within 2043.1 sec. This solution guarantees substantial scalability. © 2024 IEEE.

关键词： Blockchain

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Enhancing Task Scheduling in Cloud computing: A Multi-Objective Cuckoo Search Algorithm Approach 3

Enhancing Task Scheduling in Cloud Computing: A Multi-Object...

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3rd international conference on Advancement in Electronics and Communication Engineering, AECE 2023

作者： Shetty, Pallavi Veeraiah, Vivek Khidse, Swati Vitthal Rai, Mritunjay Gupta, Ankur Dhabliya, Dharmesh Dept. of Mca Karnataka Udupi India Sri Siddhartha Academy of Higher Education Dept. of Computer Science Karnataka Tumkur India Dr. Babasaheb Ambedkar Marathwada University Maharashtra Aurangabad India Shri Ramswaroop Memorial University Dept. of Ece UP Barabanki India Vaish College of Engineering Dept. of Cse Haryana Rohtak India Vishwakarma Institute of Information Technology Dept. of It Maharashtra Pune India

ISBN: (纸本)9798350330724

Services that are delivered and managed online employ cloud computing. Without taking into account the end user's actual location, cloud computing offers data access and storage devices. Clouds are quickly becoming as a crucial application platform for science. Due to the limitless number of nodes in the cloud environment, resources are inherently unstable, which has a significant impact on task execution and scheduling. Hardware, virtualization, distributed computing, and internet-based service delivery improvements in recent years have all contributed to the evolution of cloud computing. Cloud computing may not entail many cutting-edge technology, but it does offer a novel approach to IT management. An essential and crucial issue in cloud systems is the proper scheduling of jobs that have been received across service providers. In cloud settings, the scheduling problem is NP-hard. The current system offers a scheduling algorithm that takes care of the main problems with job scheduling in the cloud. To plan the jobs in cloud computing for this project, the system suggested a method called Multi Objective Cuckoo Search. © 2023 IEEE.

关键词： Scheduling algorithms

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Integration and Implementation of Intelligent Circuit System in internet of Things Equipment 3

Integration and Implementation of Intelligent Circuit System...

引用

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

作者： Sang, Yike Han, Xintong Zhao, Songling Chang, Mingsheng Weifang Engineering Vocational College Shandong Qingzhou262500 China

ISBN: (纸本)9798331519032

The integration and implementation of intelligent circuit system in internet of Things (IoT) devices is one of the key technologies in the current digital era. With the continuous improvement of the intelligence of IoT equipment, intelligent circuit system, as its core component, undertakes the heavy responsibility of data acquisition, processing and transmission, and gives the equipment the ability of independent learning and decision-making. However, there are still many challenges to effectively integrate the intelligent circuit system into IoT devices and achieve efficient and stable operation. In this paper, the integration method and implementation technology of intelligent circuit system in IoT equipment are deeply discussed. In the aspect of hardware integration, the research emphasizes the importance of standardization and universal interface design, and how to reduce energy consumption through intelligent sleep technology and energy management strategy. Software integration involves selecting the appropriate operating system, communication protocol and data processing strategy to ensure that the intelligent circuit system can seamlessly interface with IoT devices and realize efficient data processing. In addition, the paper also discusses the selection and application of embedded system and microcontroller, as well as the selection and optimization of communication technology to meet the needs of different IoT devices. Through case analysis, this paper shows the integration and realization process of intelligent circuit system in smart home system, including hardware selection, software development, application of communication technology and application of data analysis and processing technology. The analysis of performance, stability and security shows that the smart home system performs well in real-time control, data processing and personalized experience. At the same time, it also points out the potential risks of the system in extreme cases and puts

关键词： Decision making

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2024 IEEE 3rd international conference on computing and Machine Intelligence, ICMI 2024 - Proceedings

2024 IEEE 3rd International Conference on Computing and Mach...

引用

3rd IEEE international conference on computing and Machine Intelligence, ICMI 2024

ISBN: (纸本)9798350372977

The proceedings contain 157 papers. The topics discussed include: a self-scaling dynamic blockchain model for IoT;advanced generative ai methods for academic text summarization;data augmentation for entity resolution: a comparative evaluation;mitigation of user-prompt bias in large language models: a natural language processing and deep learning based framework;evaluating the effectiveness of an object detection pipeline to support surveillance of unintended passage;automated scripting for real-time responses to suspicious user actions;highway merging control using multi-agent reinforcement learning;using machine learning to predict student success in undergraduate engineering programs;NeuroAqua: developing an optimized artificial intelligence and internet of Things-based aquaponics system;and precision fish farming to mitigate pond water quality through IoT.

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Risk Prediction and Management for Effective Cyber Security Using Weighted Fuzzy C Means Clustering 3

Risk Prediction and Management for Effective Cyber Security ...

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3rd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Pillai, Sanjaikanth E. Vadakkethil Somanathan Polimetla, Kiran Prakash, Chidurala Sai Pareek, Piyush Kumar Zanke, Pankaj School Of Electrical Engineering And Computer Science University Of North Dakota Grand Forks United States Adobe Inc. Dept. Of Information Technology AustinTX United States Sr University Department Of Electrical And Electronics Engineering Warangal India Nitte Meenakshi Institute Of Technology Department Of Aiml And Ipr Cell Bengaluru India Sapiens International Corporation United States

ISBN: (纸本)9798350318609

The necessity of the continuous risk assessment as well as management is attracting the people due to the requirement of protecting the risk. The management of the risk plays a significant part in solving the cyber threats within Cyber-Physical System (CPS). However, because of the enhanced complexity of CPS, the cyber-attacks are the most urbane as well as low predictable, which made the risk management tasks more challenging. This research proposes the efficient Cyber Security Risk Management (CSRM) repetition by the utilization of the Weighted Fuzzy C Means (WFCM) clustering for the prediction and management of the cyber risk. Initially, VCDB dataset is collected to estimate the effectiveness of the model and Term Frequency-Inverse Document Frequency (TF-IDF) approach is utilized for the extraction of feature from the collected data. Then, feature selection is performed by using Principal Component Analysis (PCA) and prediction is performed by the utilization of the WFCM. The effectiveness of the WFCM is estimated by using various performance metrices and it achieves the accuracy of 84.2% and precision of 0.746 when compared to the existing methods such as fuzzy and DeepSpamPhisNet (DSPN). © 2024 IEEE.

关键词： Risk management

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IoT and Blockchain-based Solid Waste Management System in Smart Cities 3

IoT and Blockchain-based Solid Waste Management System in Sm...

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3rd international conference on Ubiquitous computing and Intelligent Information Systems, ICUIS 2023

作者： Chandra Sekhar, J. Jarubula, Ramu Krishna Pratap, V. Nri Institute of Technology Department of Cse Andhra Pradesh Guntur India

ISBN: (纸本)9798350306989

This research study investigates the application of the internet of Things (IoT) and blockchain technologies in improving waste management systems in urban settings. Traditional waste management must improve by efficiently monitoring waste bin fill levels, often leading to environmental pollution and public health risks. An IoT-based system was proposed that utilized sensor technology to monitor bin statuses in public and residential areas. These sensor nodes, Public Level Waste Monitoring (PLWM) and Home Level Waste Monitoring (HLWM) collect data on fill levels and location, which is then transmitted for analysis. A blockchain management system was also incorporated to ensure data security and transparency. This system was evaluated through comprehensive testing and evaluation processes, assessing sensor accuracy, data transmission time, network reliability, and user interface usability. © 2023 IEEE.

关键词： internet of things

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