• Nirmalgowri K
• Dr.A.Vidhya

The exponential growth of big data, driven by advancements in healthcare, IoT, social media, and financial systems, has introduced unprecedented challenges in data security, privacy, and management. Traditional centralized systems face limitations in ensuring data integrity, preventing unauthorized access, and maintaining scalability under high transaction loads. As cyber threats evolve, the need for trustworthy, tamper-resistant, and decentralized solutions has become critical. Blockchain technology emerges as a paradigm shift, offering immutability, cryptographic security, and distributed consensus mechanisms to fortify big data ecosystems. This paper presents a comprehensive investigation into the integration of blockchain with big data, analyzing its ability to enhance security, optimize data processing, and ensure transparent yet privacy-preserving operations. It explores state-of-the-art blockchain-enabled frameworks and evaluates their effectiveness across diverse applications, such as secure IoT data exchange, privacy-preserving healthcare records, and fraud-resistant industrial analytics. Experimental results indicate that blockchain-based solutions significantly improve data integrity (from 89% to 99.5%), reduce unauthorized access incidents, and enhance transaction efficiency while ensuring compliance with access control policies. Despite these advancements, blockchain-based big data solutions encounter obstacles such as high computational overhead, increased storage demands, and consensus inefficiencies. The study discusses potential optimizations, including scalable consensus models, hybrid blockchain architectures, and cross-chain communication protocols, to enhance blockchain’s adaptability to large-scale data environments. Furthermore, it highlights the role of AI-driven smart contracts in automating decision-making processes while preserving security. This research underscores blockchain’s potential to redefine modern data infrastructures, enabling a future where decentralized, transparent, and highly secure data ecosystems become the standard. By addressing current limitations and leveraging innovative blockchain mechanisms, this study provides a roadmap for future advancements in real-time, secure, and scalable big data management.

Big Data Security, Privacy, Blockchain, Scalable, Secure Data Management

"Enhancing Big Data Security and Privacy: A Blockchain-Based Approach for Scalable and Secure Data Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.h65-h71, February-2025, Available :http://www.jetir.org/papers/JETIR2502708.pdf

"Enhancing Big Data Security and Privacy: A Blockchain-Based Approach for Scalable and Secure Data Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. pph65-h71, February-2025, Available at : http://www.jetir.org/papers/JETIR2502708.pdf