1. RATNESH KUMAR DIXIT - Pursuing PhD, Computer Applications, Department of Computer Science, Invertis University, Bareilly, Uttar
Pradesh, India.
2. R K SHUKLA - Professor and Dean, Department of Computer Science, Invertis University, Bareilly, Uttar Pradesh, India.
3. NAYANEESH KUMAR MISHRA - Associate Professor, Department of Computer Science, LDC Institute of Technical Studies, Prayagraj, Uttar
Pradesh, India.
4. RATNESH MISHRA - Assistant Professor, Computer Science & Engineering, BIT, Mesra Patna Campus, Bihar, India.
5. RAVI SHANKAR SHUKLA - Assistant Professor, Department of Computer Science, Saudi Electronics University, KSA.
In data-intensive cloud applications, maintaining data integrity amid frequent data block modifications poses a significant challenge. Despite employing blockchain to track data file updates, delays occur as blocks are added only upon majority consensus, causing update delays. To address this, we propose a Lazy Blockchain methodology that efficiently records updates. By tracking transactions and system state commitments, blocks are added lazily post verification, accommodating the rapid update frequency. Our methodology ensures integrity checks and has demonstrated efficiency across various parameters. The results highlight the solution’s efficacy in managing data updates while maintaining integrity.
Cloud Computing, Data Security, Blockchain, Data Integrity, E-Governance, Lazy, Blockchain