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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...

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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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Air Canvas for Educational Systems with Hand Tracking in Real Time using Mediapipe: A computer Vision 2

Air Canvas for Educational Systems with Hand Tracking in Rea...

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2nd IEEE International Conference on Communication, Security and Artificial Intelligence, ICCSAI 2023

作者： Mehra, Aastha Singh, Swapnil Singh, Prabhishek Gupta, Kunal Agrawal, Tarun Amity School of Engineering and Technology Amity University Uttar Pradesh Noida India School of Computer Science Engineering and Technology Bennett University Uttar Pradesh Greater Noida India Department of Cse & It Jaypee Institute of Information Technology Uttar Pradesh Noida India

ISBN: (纸本)9798350369960

Today, computer Vision is widely used in various tech sectors. It is very useful in developing modern applications, such as those used by Air Canvas. After reviewing numerous research publications on this subject, this study aims to provide a comprehensive overview of all the aspects of object detection. It provides suggestions for how they can be improved, and techniques for Topic object detection and also includes various algorithms for it. Evaluations of algorithms such as SSD and YOLO has also been covered for a better grasp of how object detection works. The parts that are necessary for building the Air Canvas project are also present. It also consists of the implementation of the final project. Although a huge task, it can be very much made possible by consistent investment by communities passionate about developing one of the most exploited sectors of our economy and by government funding that is able to recognize the potential that gets lost in the tide of economic poverty and discrimination against backgrounds. The project is a learning tool that can be utilized in a classroom for teaching as well as being an insight into what modern computer vision technology is capable of. © 2023 IEEE.

关键词： Air Canvas mediapipe Object detection Object tracking

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Prevention of Attacks in Vehicular Adhoc Networks

Prevention of Attacks in Vehicular Adhoc Networks

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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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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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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...

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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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Blockchain-Driven Framework for Fake Product Detection 2nd

Blockchain-Driven Framework for Fake Product Detection

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2nd International Conference on Deep sciences for Computing and Communications, IconDeepCom 2023

作者： Shah, Richa Shah, Het Obaidat, Mohammad S. Jadav, Nilesh Kumar Gupta, Rajesh Tanwar, Sudeep Department of Computer Science and Engineering Institute of Technology Nirma University Gujarat382481 India 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: (纸本)9783031689048

Blockchain has a vast range of applications and has been acknowledged in this current era. It has solved various issues related to security, tracking, immutability, etc., and also verifies transactional information without relying on centralized third-party systems. One of the most significant drawbacks of the online retail industry is that they showcase fake products in the market. It seems that the product is authentic, but in reality, it is a counterfeit retail product. To overcome this situation, in this paper, we propose a decentralized blockchain-based fake product identification framework for manufacturing industries. We designed a blockchain smart contract for the proposed framework to identify whether the product is authentic or not. The proposed framework uses both the QR code and the serial number for the identification of fake products along with supply chain tracing. The performance of the proposed framework is evaluated using the transaction and execution cost. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Smart contract

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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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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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A Comprehensive Study on Steganography and Text-to-Image Encryption Using RGB Substitution Techniques for Cybersecurity 4

A Comprehensive Study on Steganography and Text-to-Image Enc...

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

作者： Paliwal, Girish Sharma, Kanta Prasad Shrimal, Vijay Mohan Bhargava, Deepshikha 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 Udisha Bhuvneshwar India

ISBN: (纸本)9798331518981

In today's world, data is money and privacy lie at the apex of our system. There has been a cat and mouse game between the good guys and bad guys. Steganography is a process of hiding any confidential data, it must be any document or image file that we don't want to disclose with any third person in an image or video file. There are tons of encryption mechanisms like DES, 3DES, AES, RSA and so on. Most of these fail against attacks like KPA (Known Plain Text Attack), Known Ciphertext Attack, Brute force, etc. In steganography when creating an application, the application needs many different things. Like some applications need a small secret message to hide in an image or some applications need extra pixels of the images so the secret message can properly hide. This paper intends to give a brief discussion about steganography process and how to use it and which steganography technique is more suitable. This paper focus on implementing a Text-to-image Encryption mechanism in conjunction with AES-256 to gain 2 factored encryption which makes it difficult for the attacker to break the cypher text. © 2024 IEEE.

关键词： Ciphertext

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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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