Data Security Projects for ME, MTech, Masters, MS abroad, and PhD students. These Data Security ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Data Security Projects
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Blockchain-Based Decentralized Storage Design for Data Confidence Over Cloud-Native Edge Infrastructure
This project focuses on building a new way to store data across many devices instead of in one central place. It uses cloud and blockchain ideas to make storage faster, more secure, and private. The system works well on edge devices and improves data transfer compared to existing methods. Overall, it solves common problems in decentralized data management. -
Comprehensive Review and Analysis of Cryptography Techniques in Cloud Computing
This project studies how to keep data safe in cloud computing. It looks at different encryption methods and compares how they work, their strengths, and weaknesses. The research suggests using elliptic curve cryptography for secure communication and lightweight encryption for devices with limited resources. It shows how combining different methods can improve cloud security. -
DEDUCT: A Secure Deduplication of Textual Data in Cloud Environments
This project presents a new way to reduce the size of large text datasets while keeping them secure. The method, called DEDUCT, removes repeated data before storing it in the cloud. It works well even on small devices like IoT systems. Tests show it can cut storage needs by about two-thirds without losing data privacy. -
A Novel Quantum Hash-Based Attribute-Based Encryption Approach for Secure Data Integrity and Access Control in Mobile Edge ComputingEnabled Customer Behavior Analysis
This project focuses on improving the security and reliability of mobile edge computing systems used in consumer behavior research. It introduces a new method called Quantum Hash-Based Attribute-Based Encryption (QH-ABE) to protect data and control who can access it. The system uses quantum computing ideas and a special algorithm to detect any changes in data. This approach makes data handling faster, safer, and more trustworthy in modern edge computing environments. -
A Novel Approach Based on Machine Learning, Blockchain, and Decision Process for Securing Smart Grid
This project focuses on improving the security of smart grid networks using machine learning and blockchain. It ensures that all electricity data and device activities are stored safely without tampering. The system can detect both known and unknown attacks. It also uses an improved method to save energy while keeping the network secure.
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