A Cost-efficient and Scalable Framework for E-Voting System based on Ethereum Blockchain

Jafar, Uzma; Aziz, Mohd Juzaiddin Ab; Shukur, Zarina; Hussain, Hafiz Adnan

doi:10.1109/iccr56254.2022.9996026

Cited by 5 publications

(4 citation statements)

References 28 publications

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“…Consensus techniques are crucial for assuring network participant agreement and defending against fraudulent operations. Choosing the best consensus mechanism necessitates careful consideration of variables such as scalability, security, energy efficiency, and the specific needs of the e-voting system [92,93].…”

Section: Results-challenges In Blockchain-based E-voting Systemsmentioning

confidence: 99%

Blockchain-Based E-Voting Systems: A Technology Review

Hajian Berenjestanaki,

Barzegar,

El Ioini

et al. 2023

Electronics

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The employment of blockchain technology in electronic voting (e-voting) systems is attracting significant attention due to its ability to enhance transparency, security, and integrity in digital voting. This study presents an extensive review of the existing research on e-voting systems that rely on blockchain technology. The study investigates a range of key research concerns, including the benefits, challenges, and impacts of such systems, together with technologies and implementations, and an identification of future directions of research in this domain. We use a hybrid review approach, applying systematic literature review principles to select and categorize scientific papers and reviewing the technology used in these in terms of the above key concerns. In the 252 selected papers, aspects such as security, transparency, and decentralization are frequently emphasized as the main benefits. In contrast, although aspects like privacy, verifiability, efficiency, trustworthiness, and auditability receive significant attention, they are not the primary focus. We observed a relative lack of emphasis on aspects such as accessibility, compatibility, availability, and usability in the reviewed literature. These aspects, although acknowledged, are not as thoroughly discussed as the aforementioned key benefits in the proposed solutions for blockchain-based e-voting systems, whereas the considered studies have proposed well-structured solutions for blockchain-based e-voting systems focusing on how blockchain can strengthen security, transparency, and privacy, in particular, the crucial aspect of scalability needs attention.

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Section: Results-challenges In Blockchain-based E-voting Systemsmentioning

confidence: 99%

Blockchain-Based E-Voting Systems: A Technology Review

Hajian Berenjestanaki,

Barzegar,

El Ioini

et al. 2023

Electronics

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“…This paper contributes to the field by proposing novel algorithms for dynamic access control in IoT smart homes. These algorithms are integrated with a caching mechanism built on Ethereum, which enhances system efficiency without compromising security [8,9]. The research validates these algorithms through rigorous experimental setups, comparing them against existing mechanisms to highlight their efficacy and adaptability.…”

Section: Introductionmentioning

confidence: 86%

Cost-Optimized Dynamic Access Control Policy Using Blockchain and Machine Learning for Enhanced Security in IoT Smart Homes

Hussain,

Mansor,

Shukur

et al. 2024

ITM Web Conf.

Self Cite

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The rapid adoption of Internet of Things (IoT) devices in smart homes has led to growing security vulnerabilities, primarily due to the limitations of traditional, static access control mechanisms. This paper presents a novel, dynamic access control policy that leverages the immutable and transparent nature of Blockchain technology, specifically Ethereum, along with machine learning algorithms to enhance security measures. By integrating machine learning algorithms like Support Vector Machines (SVM) and Neural Networks, the proposed system can adapt and respond to changing behavioural patterns and potential threats in real time. Additionally, a caching mechanism implemented on the Ethereum Blockchain is introduced to optimize system performance and reduce latency. Experimental results demonstrate significant improvements in access control security, system efficiency, and adaptability. The findings of this paper not only contribute to the advancement of secure access control policies for IoT smart homes but pave the way for future research in integrating Blockchain and machine learning for robust and scalable IoT security solutions.

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“…Blockchain technology has been extensively studied for its application in secure and transparent electronic voting systems. One notable work is by [10], who employed a Proofof-Stake (PoS) Blockchain algorithm to enhance the security and efficiency of electronic voting. Despite the promise shown by Blockchain, these solutions often need more dynamic adaptability to counter evolving cyber threats [11].…”

Section: Related Workmentioning

confidence: 99%

Secure-Tech Triad Enhancing Electronic Voting System Security through Integrated Blockchain, AI, and IoT Technologies

Jafar,

Ab Aziz,

Shukur

et al. 2024

ITM Web Conf.

Self Cite

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As electronic voting systems become increasingly prevalent, the urgent need for robust security measures to combat evolving cyber threats has never been more critical. This paper introduces a ground-breaking architectural framework Secure-Tech Triad that synergistically combines Blockchain technology with Machine Learning (ML) algorithms and Internet of Things (IoT) capabilities to enhance the security and efficiency of electronic voting systems. This architectural framework utilizes a modified Proof-of-Stake (PoS) Blockchain algorithm, a Random Forest ML model for real-time anomaly detection, and an MQTT protocol for IoT-based data collection to create a more secure, efficient, and responsive voting environment. Rigorous testing and evaluation show that the integrated framework significantly outperforms existing Blockchain-only solutions in key performance indicators, such as security breach detection rate, system latency, and cost efficiency. This integrated approach is the best-performing model, achieving a 97% security breach detection rate, a 30% reduction in system latency (down to 2.3 seconds), and a 25% decrease in operational costs. These results underscore the combined effectiveness of Blockchain, AI, and IoT in enhancing security, speed, and cost-effectiveness. Specifically, the Random Forest algorithm has been instrumental in achieving an exceptional security breach detection rate, while IoT data collection has played a pivotal role in enabling real-time anomaly detection and proactive threat mitigation.

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A Cost-efficient and Scalable Framework for E-Voting System based on Ethereum Blockchain

Cited by 5 publications

References 28 publications

Blockchain-Based E-Voting Systems: A Technology Review

Blockchain-Based E-Voting Systems: A Technology Review

Cost-Optimized Dynamic Access Control Policy Using Blockchain and Machine Learning for Enhanced Security in IoT Smart Homes

Secure-Tech Triad Enhancing Electronic Voting System Security through Integrated Blockchain, AI, and IoT Technologies

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