Data Security Final Year Projects with Source Code

Byadmin Final Year Projects

Data Security Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Data Security projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Data Security Final Year Projects

  1. EGCrypto A Low-Complexity Elliptic Galois Cryptography Model for Secure Data Transmission in IoT
    This project focuses on keeping data in Internet of Things (IoT) networks safe while it is being sent over public networks. The authors created a system called EGCrypto that encrypts IoT data using a low-complexity cryptography method and hides it inside images for secure transfer. They also use optimization techniques to make the system more efficient and accurate. Experiments show that EGCrypto is better than existing methods in security, data quality, and transmission efficiency.
  2. Quantifying IoT Security Parameters An Assessment Framework
    This project studies many different ways researchers measure security in IoT systems. It collects forty-six metrics from past studies and groups them into clear categories. The work shows which metrics are used most often and which areas are still missing good measures. It helps future researchers choose better methods to evaluate IoT security.
  3. Toward Practical Deep Blind Watermarking for Traitor Tracing
    This project focuses on protecting copyrighted images using a smart watermarking method. It combines deep learning with a special encoding strategy to hide watermarks without affecting image quality. The method splits images into small patches to make the watermark strong against distortions. Experiments show it keeps images clear, improves performance, and reduces training time and memory use.
  4. A Blockchain-Based Deep-Learning-Driven Architecture for Quality Routing in Wireless Sensor Networks
    This project improves the security and efficiency of wireless sensor networks (WSNs), which are used in areas like healthcare and military services. It detects and removes malicious nodes using deep learning and a blockchain-based validation system. The network is designed to prevent failures by decentralizing data handling and registering legitimate nodes securely. The results show higher accuracy, better throughput, and lower delay compared to traditional routing methods.
  5. Malicious Node Detection Using Machine Learning and Distributed Data Storage Using Blockchain in WSNs
    The project builds a secure system to protect wireless sensor networks. It uses blockchain to register devices and machine learning to identify bad or unsafe nodes. Legitimate data is stored safely using a special distributed storage system. The method improves accuracy, detects threats faster, and keeps the network more secure.
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At Final Year Projects, we provide complete guidance for Data Security IEEE projects for BE, BTech, ME, MSc, MCA and MTech students. We assist at every step from topic selection to coding, report writing, and result analysis.

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Data Security Project Synopsis & Presentation

Final Year Projects helps prepare Data Security project synopsis, including problem statement, objectives, existing system, disadvantages, proposed system, advantages and research motivation. We provide PPT slides, tutorials, and full documentation for presentations.

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Final Year Projects provides thesis writing services for Data Security projects. We help BE, BTech, ME, MSc, MCA and MTech students complete their final year project work efficiently.

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