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Green Consensus Mechanisms for Energy-Efficient Decentralized Systems
Participants
Summary
Blockchain technology has revolutionized digital transactions and data security, but its high energy consumption remains a major concern. This research focuses on developing and analyzing green blockchain solutions, emphasizing energy-efficient consensus mechanisms to reduce the environmental impact of decentralized systems. Traditional methods, such as Proof of Work (PoW), require vast computational power, leading to excessive carbon footprints. This study explores alternative consensus protocols, including Proof of Stake (PoS), Delegated Proof of Stake (DPoS), Proof of Authority (PoA), and hybrid models, which significantly lower energy consumption while maintaining security and decentralization. Additionally, the project investigates the integration of renewable energy sources, carbon offset strategies, and hardware optimization to enhance blockchain sustainability. By addressing the balance between efficiency, security, and environmental responsibility, this research aims to pave the way for eco-friendly blockchain applications, benefiting industries such as finance, supply chain management, and smart cities.
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Publications
[1] Asif R, Hassan SR. Exploring the Confluence of IoT and Metaverse: Future Opportunities and Challenges. IoT. 2023; 4(3):412-429. https://doi.org/10.3390/iot4030018
[2] Asif R and Hassan SR (2023) Shaping the future of Ethereum: exploring energy consumption in Proof-of-Work and Proof-of-Stake consensus. Front. Blockchain 6:1151724. doi: 10.3389/fbloc.2023.1151724
Integrating a Blockchain-Based Governance Framework for Responsible AI
Participants
Summary
As artificial intelligence (AI) becomes increasingly integrated into critical decision-making processes, concerns regarding transparency, accountability, security, and ethical compliance are growing. This research explores the development of a blockchain-based governance framework to ensure responsible AI deployment. Blockchain technology, with its immutable and decentralized nature, can provide a secure and transparent infrastructure for managing AI models, data provenance, decision audits, and regulatory compliance. The study investigates how smart contracts can be used to enforce AI governance policies, while decentralized identity management and cryptographic techniques can protect data privacy. By integrating blockchain with AI, this framework aims to address bias detection, explainability, compliance automation, and trust assurance in AI-driven applications. The research will assess real-world case studies in sectors such as healthcare, finance, and public services, ultimately contributing to a trustworthy, accountable, and ethically aligned AI ecosystem.
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Publications
[1] Asif R, Hassan SR, Parr G. Integrating a Blockchain-Based Governance Framework for Responsible AI. Future Internet. 2023; 15(3):97. https://doi.org/10.3390/fi15030097