RESEARCH.MRAYUSH.IN — PAPERS · EXPERIMENTS · FINDINGS
THERESEARCH LOG
Peer-reviewed papers plus experiments and findings that Ayush Agnihotriposts directly — cryptography, blockchain, security and applied machine learning. Open access; cite freely. Pick a record and dig in.
OPEN ACCESS · CITE FREELY · UPDATED PERIODICALLY
RESEARCH PAPERS
- PSN-2025-577PublishedMar 2025
Smart Contracts and Decentralized Applications
The Confluence of Cryptography, Blockchain and Artificial Intelligence - CRC Press
A chapter examining how self-executing smart contracts and the decentralized applications built on them reshape trust on distributed ledgers - covering their cryptographic foundations, execution model, common design and security pitfalls, and the practical role they play at the intersection of blockchain and artificial intelligence.
- PSN-2024-570UnpublishedJun 2024
Secure Finance Services Networking Using AI-Based Blockchain Technology
Book chapter
This abstract examines the utilization the application of blockchain technology in enhancing security of finance services networking. The merging of artificial intelligence (AI) and blockchain has opened new avenues for bolstering security in networking infrastructures. The abstract explores deeply the fundamentals of blockchain technology, emphasizing its decentralized, immutable, and transparent nature. It then discusses how AI augments blockchain networks, particularly in consensus mechanisms, smart contract execution, and anomaly detection. Leveraging the synergy between artificial intelligence (AI) and blockchain technology holds promise in addressing these challenges. The abstract initially elucidates the foundational principles of blockchain technology tailored to finance services, highlighting its decentralized ledger, cryptographic security, and smart contract capabilities. Subsequently, it scrutinizes the role of AI in enhancing various facets of finance services networking, including fraud detection, risk assessment, and transaction monitoring. The integration of AI and blockchain is then explored in depth, showcasing how these technologies collaborate to establish secure finance services networks by mitigating risks such as unauthorized access, data tampering, and fraudulent activities. Real-world case studies are presented to underscore the efficacy of AI-based blockchain solutions in optimizing financial processes while ensuring compliance with regulatory standards. Emerging trends and future directions, such as predictive analytics for threat mitigation and federated learning for data privacy, are also explored. Overall, this abstract provides insights into how AI-based blockchain technology revolutionizes secure networking, offering a comprehensive understanding of its principles, applications, and implications for cybersecurity. It concludes by synthesizing key insights and projecting the future trajectory of secure finance services networking propelled by AI-based blockchain technology, underscoring its pivotal role in reshaping the financial landscape.
EXPERIMENTS & FINDINGS
No experiments posted yet. Check back soon.