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Prevention of Attacks in Vehicular Adhoc Networks

Prevention of Attacks in Vehicular Adhoc Networks

引用

IEEE students' Conference on Electrical, Electronics and computer science (SCEECS)

作者： Thuvva Anjali Rajeev Goyal Balaji G.N Computer Science and Engineering Amity School of Engineering and Technology Amity University Gwalior India Computer Science and Engineering School of CSE Vellore Institute of Technology Vellore India

Over the past years, numerous methods have been developed to identify anomalies in traditional VANETs networks. A survey of VANET anomaly detection and mitigation methods is presented in this analysis. This survey looks into a variety of VANET research projects, attack types, anomaly detection methods, and mitigation strategies. VANETs provide wireless communication among vehicles as well as between vehicles and infrastructure. Its major objective is to improve road safety, comfort, and convenience. VANET varies from ad hoc networks due to its specific features. Several methods for identifying anomalies in conventional VANET networks have been developed over time. This work examines VANET anomaly detection and prevention technologies. Various VANET research studies, different types of attacks, anomaly detection, and VANET protection measures. The current investigation seeks to address various sorts of vehicle network assaults as well as existing security methods for coping with these attacks. This work will help academics understand the taxonomy of automotive network security vulnerabilities, which can subsequently be researched further to develop unique solutions.

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Leveraging Cloud technology for Enhanced Online Examination System 4

Leveraging Cloud Technology for Enhanced Online Examination ...

引用

4th IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Shrimal, Vijay Mohan Paliwal, Girish Sharma, Kanta Prasad Bhargava, Deepshikha Kumar, Ashish Chandigarh University Apex Institute of Technology Punjab Mohali India Amity University Amity School of Engineering & Technology Uttar Pradesh Greater Noida Campus India Institute of Technical Education and Research Siksha 'O' Anusandhan Department of Computer Science and Engineering Udisha Bhuvneshwar India

ISBN: (纸本)9798331518981

An online cloud-based Examination Framework is a web application in which the user can try an online exam. Through a web browser, the user can search for an exam for a particular subject that they want to improve. Users can also review their earlier exams and learn and improve their mistakes. The user can login using his/her account details of interest, or modern users can set up an account exceptionally rapidly using the enrollment strategy. They ought to grant the subtle elements of their title, contact and their level of education. © 2024 IEEE.

关键词： Cloud platforms

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Blockchain and Game-based Optimal Pricing Approach for Electric Vehicles Towards 5G

Blockchain and Game-based Optimal Pricing Approach for Elect...

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2024 International Conference on Electronics, Electrical and Information engineering, ICEEIE 2024

作者： Kakkar, Riya Gupta, Rajesh Obaidat, Mohammad S. Jadav, Nilesh Kumar Tanwar, Sudeep Agrawal, Smita Department of Computer Science and Engineering Institute of Technology Nirma University Gujarat 382481 India The King Abdullah II School of Information Technology The University of Jordan Amman11942 Jordan School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China The Amity University UP Noida201301 India

ISBN: (数字)9781510686809

ISBN: (纸本)9781510686793

This paper proposes an amalgamation of blockchain and interplanetary file system (IPFS) incentive approach for distributed electric vehicle (EV) charging. The incorporated blockchain technology with IPFS protocol ensures cost-efficient and reliable data transactions between EVs and charging stations (CSs). We have integrated a fifth-generation (5G) communication network to ensure low latency and highly reliable communication between EV and CS. Furthermore, the proposed blockchain and gamification approach employs a conditional zero sum (C-ZeSu) game theory to optimize the incentive for EV charging. The performance analysis of the proposed incentive approach is evaluated and implemented over the Remix integrated development environment (R-IDE) by deploying the smart contracts of formulated C-ZeSu game in terms of various performance evaluation metrics such as convergence and transaction efficiency analysis, 5G New Radio (NR) bit error rates. © 2024 SPIE.

关键词： 5G mobile communication systems

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Critical Review: Fog Computing Dimensions for Data Security Features Cloud-Based Applications 4

Critical Review: Fog Computing Dimensions for Data Security ...

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4th IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Sharma, Kanta Prasad Paliwal, Girish Bhargava, Deepshikha Shrimal, Vijay Mohan Kumar, Ashish Amity University Uttar Pradesh Amity School of Engineering & Technology Greater Noida Campus India Chandigarh University Apex Institute of Technology Punjab Mohali India Institute of Technical Education and Research Siksha 'O' Anusandhan Department of Computer Science and Engineering Odisha Bhuvneshwar India

ISBN: (纸本)9798331518981

Fog computing combines traditional cloud services with the proximity of users and devices to enhance service efficiency and speed up processes, allowing for mobility and several users to perform heterogeneous computing tasks. This can also be referred to as the fog network. This paper presents a study on cloud computing with a specific focus on its current advances. Mobile edge computing and cloud computing can be regarded as preferred examples of the technologies put under this category. Most of the approaches are design approaches aimed improvement of the service quality among the devices and the cloud environment. This theory has been constructed based on the active development of threat model for fog computing focusing on its services, data operations, and management. Classification criteria are developed from the main and the most importane aspects of fog computing. Benefits and disadvantages are studied. Such as the safety, secrecy, applicability and communication with the end users as in thanks to the research and review. © 2024 IEEE.

关键词： Cloud security

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Improving Sentiment Classification on Restaurant Reviews Using Deep Learning Models 2

Improving Sentiment Classification on Restaurant Reviews Usi...

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2nd International Conference on Machine Learning and Data engineering, ICMLDE 2023

作者： Patil, Ratna Nitin Singh, Yadvendra Pratap Rawandale, Shitalkumar Adhar Singh, Sofia Artificial Intelligence and Data Science Vishwakarma Institute of Information Technology Pune411048 India Computer Science and Engineering Department Manipal University Jaipur303007 India Department of Mechanical Engineering Pimpri Chinchwad College of Engineering and Technology Pune411044 India School of Engineering and Technology Amity University Noida201301 India

Natural Language processing (NLP) includes the task of classifying texts. The proposed paper uses the ability and power of machine learning and deep learning techniques for sentiment analysis on restaurant reviews. With the increasing use of social media, classification of reviews has significant role in the development of public opinion. This work has extensive applications from client opinion study, market research and social media monitoring. The machine learning algorithms and NLP techniques are used classifying reviews and the results are rigorously analysed. It was noted that results obtained from logistic regression and multinomial naïve bayes algorithms are better than other machine learning models. Hence these two algorithms are selected to optimize further. After tuning the hyperparameters by grid search technique, the best accuracy obtained by logistic regression and multinomial naive bayes on validation dataset was 89.9% and 89.6% respectively. Deep learning architectures were also utilized for reviews classification. The accuracy obtained by Convolutional Neural Net (CNN) and Bi-Directional Long-short-term-memory (Bi-LSTM) was 89% and 90% respectively. © 2024 Elsevier B.V.. All rights reserved.

关键词： Sentiment analysis

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Surface traffic monitoring using OpenCV for various weather conditions through enhanced spatial correlation method

Surface traffic monitoring using OpenCV for various weather ...

引用

2022 International Mobile and Embedded technology Conference, MECON 2022

作者： Ghosh, Dipak Bera, Soumokanti Datta, Pushan Kumar Amity University Dept. of Computer Science Engineering Kolkata India Amity University School of Engineering and Technology Kolkata India

ISBN: (纸本)9781665420204

It is a big challenge in the present urban traffic management system to develop a vehicle detection and traffic surveillance monitoring system through video capture using real time data capture model whereby machine learning may be used to recognise and categorise things. The idea is to analyse the motion and approach of cars acquired from CCTV cameras footage installed on the roads in different weather conditions and create an interactive software which should be able to gather and update important statistics like vehicle type classification and counts, lane usage details, for better regulation and control with ease. The core of this working model is to enhance vehicle detection and counting module which is implemented by analysing consecutive frames of video using frame differencing technique. The government has tried the best to ensure swift movement by implementing the broad usage of intelligent traffic controller system design. According to the WHO, around 2 million road traffic accidents result in deaths, with some nations devoting 2% of their GDP to road traffic accidents. Opportunities in the intelligent transport system market is growing at a global compound annual growth rate (CAGR) from 2019 to 2025 as an effective tool for road safety. © 2022 IEEE.

关键词： Information management

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Performance Evaluation of Apache Kafka-A Modern Platform for Real Time Data Streaming 2

Performance Evaluation of Apache Kafka-A Modern Platform for...

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2nd International Conference on Innovative Practices in technology and Management, ICIPTM 2022

作者： Vyas, Shubham Tyagi, Rajesh Kumar Jain, Charu Sahu, Shashank Amity Institute Of Information Technology Haryana Gurgaon India Amity School Of Engineering And Technology Department Of Computer Science And Engineering Haryana Gurgaon India

ISBN: (纸本)9781665466431

Current generation businesses become more demanding on timely availability of data. Many real-time data streaming tools and technologies are capable to meet business expectations. Apache Kafka is one of the capable open-source distributed scalable technology that enables real-time data streaming with good throughput and latency. In traditional batch processing, data is getting processed in groups or batches but in streaming services, data records are handled separately and there is a flow of data processing that is continuous and real-time. Once Data is available at the source, Kafka can detect and stream it in real-time to the target application. After doing the literature survey it was observed that there are insufficient experiments have been done till now with a variety of volumes and with different values of the number of partitions and polling intervals. The purpose of this study is to elaborate on Apache Kafka implementation and evaluate its performance. This study will analyse key performance indicators for the streaming platform and will provide useful insights from it. These insights will help to design optimized applications in Apache Kafka. Based on gaps identified after the literature survey, multiple experiments have been conducted for the producer and consumer API (Application Programming interface). Configuration of Kafka with Apache Zookeeper helped to drive the results which are captured in tabular form for different values of polling intervals, volumes, and partitions. Data for all test runs have been analysed further to drive the conclusions as mentioned in the results section. This study provides valuable insights about the utilization of CPU (Central Processing Unit) and memory for Apache Kafka streaming on changing volumes, also elaborates the impacts on streaming performance when key configurations are getting changed. © 2022 IEEE.

关键词： Batch data processing

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A Framework for Blockchain-Enabled Smart Contract Management System of Arms and Ammunition for Defence Industry 11

A Framework for Blockchain-Enabled Smart Contract Management...

引用

11th International Conference on Reliability, Infocom Technologies and Optimization, ICRITO 2024

作者： Dhillon, Deepak Vashist, Ajay Kumar Diksha Mariaprecilla, V. Mehrotra, Deepti Amity Institute of Defence Technology Amity University Noida201313 India Banasthali Vidyapith Department of Computer Science Rajasthan Jaipur304022 India Combat Vehicle Research and Development Establishment Drdo Chennai600054 India Amity School of Engineering and Technology Amity University Noida201313 India

ISBN: (纸本)9798350350357

This paper presents an innovative solution, the Blockchain-Enabled Smart Contract- Based Management System for Arms & Ammunition, revolutionizing logistics within the Defence industry. Addressing prevalent challenges of transparency limitations and manual inefficiencies in existing systems, this framework represents a transformative approach. Leveraging blockchain technology and smart contracts, our framework offers real-time visibility, automated processes, and stringent compliance measures. The architectural design incorporates distinct layers including Blockchain Network, Smart Contracts, Data Management, User Interfaces, Integration, Security, and Governance. Smart contracts play a pivotal role by ensuring data accuracy and enabling immediate access to critical information. Scalability concerns are mitigated through optimized consensus algorithms and sharding, ensuring smooth expansion. An indepth analysis of blockchain platforms underscores the significance of platform selection, pivotal for security and operational efficiency. Real-world use cases illustrate the system's adaptability, spanning ammunition distribution to proactive maintenance scheduling, showcasing its resilience and versatility. In summary, our proposed system marks a monumental advancement in Defence industry logistics, offering unparalleled transparency, automation, and security. It sets a new standard for military operations by establishing a robust and responsive infrastructure. Ongoing developmental initiatives and global collaboration underscore a future-ready, secure, and adaptable Defence landscape. © 2024 IEEE.

关键词： Smart contract

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Advancing Monkeypox Detection with Deep Learning: A High-Accuracy ResNet50-Based Approach

Advancing Monkeypox Detection with Deep Learning: A High-Acc...

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2024 International Conference on Decision Aid sciences and Applications, DASA 2024

作者： Mahajan, Manish Mittal, Shivansh Bansal, Ankit Bhattacherjee, Abhishek Vishal Kaushik, Pratham Amity School of Engineering and Technology Amity University Punjab Mohali India Mullana India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Lovely Professional University Department of Computer Science Engineering Punjab Phagwara India Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140401 India

ISBN: (纸本)9798350369106

This work aims to create a deep-learning model that will be able to classify Monkeypox and Non-Monkeypox images accurately. Using 3192 equally distributed images as data., trained a ResNet50 pre-trained CNN model to classify the input images between the two classes. The model converged in 50 epochs with an average of 2.,554 training images and 638 validation images., employing several steps such as data augmentation and hyperparameter optimization to detect overfitting. We managed to achieve an average accuracy of 89.97% in our proposed model. The training loss was reduced to 0.0703 from 0.6303., and the validation loss was reduced to 0.1725 from 0.5069., showing good learning and less overfitting. The classification report also indicates an incredible accuracy of both the precision (90%) of the classifier as well as the recall (90%) of the classifier;the F1-Scores give a good sense of measuring an aspect of the sensitivity and specificity of the classifier. The confusion matrix analysis shows a near-equal distribution of misclassifications., highlighting the model's robustness and reliability in distinguishing between the two classes. The significance of this research lies in its potential to assist healthcare professionals in the timely and accurate detection of Monkeypox., thereby facilitating prompt intervention and containment measures. By providing a reliable automated diagnostic tool., this study contributes to advancing Monkeypox detection and underscores the vital role of deep learning in addressing emerging public health challenges. © 2024 IEEE.

关键词： Convolutional neural networks

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Blockchain in Electronic Voting: A Systematic Review of Security, Scalability, and Emerging Technologies

Blockchain in Electronic Voting: A Systematic Review of Secu...

引用

Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), International Conference

作者： Shantanu Gupta Neha Tyagi Department of Computer Science and Engineering Amity School of Engineering & Technology Amity University Uttar Pradesh India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515928

Blockchain technology has emerged as a promising solution for enhancing the security, transparency, and efficiency of electronic voting systems. This review paper presents a comprehensive analysis of recent research papers, examining various cryptographic techniques, consensus mechanisms, and blockchain frameworks designed to address critical issues such as voter anonymity, coercion resistance, and election integrity. The findings are categorized into key themes: security, privacy, scalability, verifiability, and performance, with an emphasis on advanced methods like biometric encryption and quantum key distribution. Emerging trends, including quantum cryptography and decentralized governance, are explored as future avenues for innovation. Despite these advancements, challenges related to governance, user engagement, legal frameworks, and system interoperability persist. The paper concludes by identifying the need for further research into scalability and security improvements, as well as the seamless integration of blockchain solutions with existing electoral infrastructure to enable real-world adoption

关键词： Privacy Technological innovation Electric potential Law Scalability Market research Blockchains Consensus protocol Quantum key distribution Electronic voting

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