Internet Of Things Security Final Year Projects with Source Code

Internet Of Things Security Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Internet Of Things 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.

Internet Of Things Security Final Year Projects

  1. Anonymous Broadcast Authentication With One-to-Many Transmission to Control IoT Devices
    This project focuses on safely controlling multiple IoT devices from a distance. It ensures that only the intended devices can recognize and act on commands sent by a system manager. The system can also detect and block any malicious attempts to manipulate commands. The researchers developed a secure method called anonymous broadcast authentication that works quickly and reliably over regular wireless networks.
  2. Holochain An Agent-Centric Distributed Hash Table Security in Smart IoT Applications
    This project studies a new technology called Holochain as an alternative to blockchain for securing Internet of Things (IoT) networks. It focuses on smart agriculture, where land records and data need protection from unauthorized access and corruption. Holochain allows peer-to-peer transactions with better scalability and local data storage compared to blockchain. The research explains its architecture, challenges, and how it can enable secure, distributed applications.
  3. 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.
  4. Toward Secured IoT-Based Smart Systems Using Machine Learning
    This project studies how smart systems like smart cities and early warning systems use sensors and devices to collect data. Machine learning is applied to this data to make predictions and improve decision-making. The research also examines security methods to keep these systems safe. Two case studies on smart campuses and earthquake warning systems show how this works in practice.
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Internet Of Things Security Project Synopsis & Presentation

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