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Integrating the Internet of Things to Protect Electric Vehicle Control Systems from Cyber Attacks

IAENG International Journal of Applied Mathematics 2024年第3期54卷 433-440页

作者： Bhukya, Baddu Naik Venkataiah, V. Kuchibhatla, S. Mani Koteswari, S. Kumari, R.V.S. Lakshmi Raju, Yallapragada Ravi Department of Electrical and Electronics Engineering Prasad V. Potluri Siddhartha Institute of Technology Andhra Pradesh Vijayawada India Department of Computer Science Engineering CMR College of Engineering & Technology Telangana Hyderabad India Department of Electrical and Electronics Engineering ACE Engineering College Telangana Hyderabad India Department of Electronics and Communication Engineering Pragati Engineering College Kakinada India Andhra Pradesh Surampalem India Department of Electrical and Electronics Engineering Gayatri Vidya Parishad College of Engineering for Women Andhra Pradesh Visakhapatnam India Department of Computer Science and Technology Madanapalle Institute of Technology and Science Andhra Pradesh India

The Internet of Things (IoT) facilitates the delivery of intelligent services by sensing, gathering, processing, and exchanging data from millions of linked smart devices. The Internet of Things (IoT), which is based on communication infrastructure, provides real-time cyber-physical device monitoring, control, and sensing, such as electric autos. Traditional communication infrastructure's vulnerability to cyberattacks hampered IoT's capacity to investigate these potential applications. This study proposes an algorithm for monitoring and controlling electric vehicles through the Internet of Things communication network to prevent fake data injection attacks. A state-space model depicts a fully autonomous electric car equipped with a vision system. Intelligent sensors and actuators from the Internet of Things are utilized to monitor and change system conditions, compensating for the large distance between the electric car and the control center. Sensing data is delivered from the vehicle to the central command center via an insecure, attack-prone communication path. The mean square error approach is used to derive states in the most effective state estimation system for comprehending and showing autos. A semi-definite programming approach is used to create an optimal control algorithm to manage the vehicle states. The simulation results show how precisely and successfully the proposed algorithms can foresee and regulate a vehicle's state. © (2024), (International Association of Engineers). All Rights Reserved.

关键词： Internet of things

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NLP based Resume Analysis and Adaptive Skill Assessment System 3

NLP based Resume Analysis and Adaptive Skill Assessment Syst...

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3rd International Conference for Innovation in Technology, INOCON 2024

作者： Julian, Anitha Haripriya, K. Saveetha Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350381931

The proposed work introduces an innovative recruitment approach integrating LinkedIn web scraping to compile a comprehensive dataset of job descriptions and essential skills. Utilizing a pioneering Word2Vec-driven machine learning model, it efficiently categorizes job descriptions, transforming hiring practices. Job seekers benefit from a dedicated platform offering concise resume summaries and a tailored algorithm for precise role matching. Automation and personalization converge to craft custom interview questions, bridging the recruiter-job seeker gap. The goal is to enhance hiring efficiency, optimize career opportunities and talent acquisition. Performance metrics validate the model's accuracy and effectiveness in job title predictions, ensuring informed decisions for both recruiters and job seekers. © 2024 IEEE.

关键词： Efficiency

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IoT-Based Healthcare System: A Blockchain Approach 4th

IoT-Based Healthcare System: A Blockchain Approach

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4th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, ICMISC 2023

作者： Komal Kour, S. Reddy, Guradi Vinay Sravani, N.V.S. Adilakshmi, T. Department of Computer Science and Engineering Vasavi College of Engineering Hyderabad India

ISBN: (纸本)9789819994410

This study introduces a blockchain-based Internet of Things (IoT)-based healthcare system. By utilizing the immutable and decentralized characteristics of blockchain technology, the suggested system addresses the issues of data security, privacy, and interoperability in health care. By integrating IoT devices with blockchain, the system ensures secure and trusted management of healthcare data, enabling efficient data exchange among stakeholders. The paper presents the architecture, components, and mechanisms of the blockchain-based IoT healthcare system, highlighting its potential benefits and future directions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Health care

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An Automated Bird Species Classification Using Deep Learning 2

An Automated Bird Species Classification Using Deep Learning

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2nd IEEE International Conference on Advances in Information Technology, ICAIT 2024

作者： Saritha, N. Shruthi Department of Computer Science and Engineering Adichuchanagiri Institute of Technology Chikkamagalur India Department of Computer Science and Engineering Navkis College of Engineering Hassan India

ISBN: (数字)9798350383867

ISBN: (纸本)9798350383867

Birds are nice-looking from their aesthetic looks and life styles, around 50 billion of birds are living on the earth where some birds are in threat of extinction. For people, distinguishing and classification of bird species appears to be troublesome with exposed eye. In this document, we aim to construct a deep learning-driven approach. an automated bird species identification system using convolution neural network (ResNet50V2 architecture) and with assorted dataset. This system will able to identify and classify the bird species with an accuracy of 99. ©2024 IEEE.

关键词： Convolutional neural networks

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Exploring AI Ability to Generate Artistic Content, Music Literature, and Other Creative Works

Exploring AI Ability to Generate Artistic Content, Music Lit...

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2024 International Conference on Integrated Circuits, Communication, and Computing Systems, ICIC3S 2024

作者： Ahuja, Harsehaj Gupta, Dipika Kumar, Manish Chugh, Jatin Punjab Engineering College Department of Computer Science Engineering Chandigarh India

ISBN: (纸本)9798350364088

Creative work means doing work that has not been done or thought to date. It involves your logical and reasoning ability. It includes making creative efforts in sculpture, painting, sketching, etc. Creativity allows people to synthesize their imagination and intelligence, which inspires them to tell new stories and convey original viewpoints. It's an adventure where the logical skills of the mind merge with the whims of creativity, giving birth to uniqueness in a variety of artistic expressions and problem-solving pursuits. © 2024 IEEE.

关键词： Applications of AI Artificial Intelligence Human FeedBack

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Machine Learning Powered Genre Prediction for Next Level Book Recommendations 5

Machine Learning Powered Genre Prediction for Next Level Boo...

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5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Julian, Anitha Pavithra, B. Saveetha Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350383522

The proposed work delves into how recommender systems, like those on YouTube and Amazon, shape our online experiences, particularly in book recommendations. It addresses the challenge of the 'cold start problem' with the help of a Popularity-based recommender initially, adapting to personalized suggestions through Collaborative Filtering as users engage. This dual approach aims for a comprehensive system that overcomes challenges in new user on boarding and adapts to evolving preferences. The importance of continuous evaluation is emphasized for ongoing effectiveness. In a separate study, the research explores the application of Natural Language Processing (NLP) in predicting book genres. It uses algorithms to analyze textual data, employing techniques like Exploratory data Analysis (EDA) to uncover patterns. The modeling phase involves text classification algorithms, contributing to a deeper understanding of genre prediction through the application of NLP techniques. © 2024 IEEE.

关键词： collaborative filtering continuous evaluation Exploratory data Analysis (EDA) genre prediction Naive Bayes Natural Language Processing (NLP) Popularity-based recommendation Recommendation system text classification algorithms

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An Empirical Analysis of Drift Detection in User Based data Streaming Using Opinion Mining 2

An Empirical Analysis of Drift Detection in User Based Data ...

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2nd IEEE International Conference on data science and Network Security, ICDSNS 2024

作者： Varsha, N. Padma, M.C. Pes College of Engineering Department of Computer Science and Engineering Mandya India

ISBN: (纸本)9798350373110

Opinion mining also termed sentiment analysis utilizing natural language processing (NLP), has become a significant research topic in recent years. It involves extracting and interpreting subjective data from textual records in sentimental drifts. Because of emotional flux, moving attitudes, changing developments, seasonal adjustments, or changes in personal alternatives, previously advanced civilizations present a problem because the distribution of consciousness within the streams of facts becomes less powerful. Detecting and responding to sentiment flow in real-time data streaming is essential to maintain sentiment analysis model performance. Shifts in the environment where the model operates can affect the data distribution, and modeled tasks may evolve, making the model less efficient. To overcome these problems, this study utilizes different learning approaches, such as adaptive learning, machine learning, ensemble learning, and deep learning, for analyzing user-based drift data streaming. In this study, parameters are utilized to assess the performance of computational approaches, including accuracy, F1 score, recall, precision, ROC, and area under the precision-recall curve (AV-PRC). © 2024 IEEE.

关键词： data streams

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An Empirical Assessment of Botnets and Detection Methods 15

An Empirical Assessment of Botnets and Detection Methods

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15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Shivanna, D. Pooja, M.R. Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru India

ISBN: (纸本)9798331300579

a botnet is a group of devices which are controlled by the Attacker and used for fraud, scam and *** attacker is also known as *** Bots are used to conduct many activities varies from stealing user credentials, sending spam, stealing data, ransom ware, fraudulently clicking on ads or distributed denial-of-service (DDoS) *** traffic made up by bots is increasing day by day, now nearly a quarter of the whole *** them becomes an uphill task as the time *** developers are adopting new technologies at a rapid rate in an effort to avoid bot *** some bot problems are industry-specific, researchers found out that bot problems run across all *** top five industries which are targeted with bad bot traffic are the financial, education, IT & services industries, marketplaces, and *** assessment paper briefs the different botnet detection methods that exist at *** main aim of this paper is to give the insight knowledge of various bots and their implications on the present cyber world and also shedding some light on the current methods using to detect them... © Grenze Scientific Society, 2024.

关键词： Bot (Internet)

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UAV Detection and Classification using Deep Learning Techniques with YOLOv8 4

UAV Detection and Classification using Deep Learning Techniq...

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4th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2024

作者： Priyanka, R. Pooja, M.R. Vidyavardhaka College of Engineering Department of Computer Science & Engineering Mysuru India

ISBN: (数字)9798331528348

ISBN: (纸本)9798350352931

Accurately detecting and tracking drones in real-time poses main challenges due to factors such as varying scales, perspectives, occlusions, and environmental conditions. The proposed implementation helps in the identification of UAV objects in images and video footage using Deep Learning [DL] techniques, specifically the YOLOv8 architecture, by gathering a diverse dataset of images and video clips from the Roboflow 100 object detection benchmark dataset. Then the process is followed by pre-processing the data using resizing, normalization, and augmentation, which will be next initialized to the YOLOv8 architecture with pre-trained weights to estimate the performance using accuracy, precision, recall, and f1-score. The system finally involves integrating the classification system with a user-friendly interface for visualization of detection and classification in real time, where it results in which type of the drone is detected. The system achieved accuracy above 0.9 for all the classes of drones with different lights background and backgrounds in both images and video. © 2024 IEEE.

关键词： Drones

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Revolutionizing Rural Healthcare in India: AI-Powered Chatbots for Affordable Symptom Analysis and Medical Guidance 7

Revolutionizing Rural Healthcare in India: AI-Powered Chatbo...

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7th International Conference on Inventive Computation Technologies, ICICT 2024

作者： Abisha, D. Mahalakshmi, M. Pritiga, T. Thanusiya, M. Punitha Sahaya Sherin, A. Navedha Evanjalin, R. National Engineering College Department of Computer Science And Engineering Kovilpatti India

ISBN: (数字)9798350359299

ISBN: (纸本)9798350359299

The healthcare sector is currently a major focal point globally, given the rising prevalence of health issues. Managing rural healthcare poses a significant challenge in India, where treating the diseases with early detection can have a crucial impact. In rural areas, obtaining physical consultations is both expensive and time-consuming. Symptom checker chatbot adoption holds the key to the solution. Artificial intelligence(AI) and chatbot technology have come to light as viable ways to enhance healthcare services. AI chatbots can simulate human-like interactions and help with patient triage and medical advice. The concept involves developing an AI-powered medical chatbot capable of diagnosing illnesses and offering fundamental information about the ailment prior to seeking advice from a physician. This initiative aims to lower healthcare expenses and enhance access to medical information through the utilization of medical chatbots. These chatbots are software programs employing natural language for user interactions. They store data in a database to recognize sentence keywords, enabling them to make informed query decisions and provide answers to questions. This shows a medical chatbot with basic symptom analysis and conversational approach may diagnose patients with some degree of accuracy;this implies that a successful bot might be feasible. Instead of trying to replace the essential human components of healthcare, the ultimate goal should be to leverage technology, such as AI chatbots, to improve patient outcomes and care. © 2024 IEEE.

关键词： Rural areas

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