Industrial Internet Of Things Final Year Projects with Source Code
Industrial Internet Of Things Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Industrial Internet Of Things 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.
Industrial Internet Of Things Final Year Projects
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APT Adversarial Defence Mechanism for Industrial IoT Enabled Cyber-Physical System
This project focuses on detecting advanced cyberattacks in industrial systems connected through the Internet of Things. It uses a special machine learning method called Graph Attention Networks to identify hidden attacks more accurately than traditional methods. The approach was tested on real datasets and achieved over 95% detection accuracy in just around 20 seconds. Overall, it improves cybersecurity in smart industrial systems. -
Blockchain Assisted Data Edge Verification With Consensus Algorithm for Machine Learning Assisted IoT
This project focuses on making Internet of Things (IoT) devices more reliable and secure. It uses blockchain technology to protect sensitive data and a smart machine learning model to detect faults in IoT networks. The system also optimizes the model for better accuracy. Experiments show that this approach can detect faults with up to 99.6% accuracy, making IoT systems safer and more trustworthy. -
Deep Reinforcement Learning-Based Task Offloading and Resource Allocation for Industrial IoT in MEC Federation System
This study focuses on improving smart industrial systems that use IoT devices. These devices have limited power and memory, so the project uses mobile edge computing to help them process data more efficiently. The researchers developed a smart method using deep learning to decide how tasks are shared and resources are used across devices. Their approach reduces energy use and processing delays in real-world scenarios. -
High-Efficiency Resource Allocation Scheme Introducing the Concept of Resource Sharing Paths in Industrial IoT
This project focuses on improving industrial wireless networks used in smart factories. It addresses the problem of resource wastage when many devices send data along overlapping routes. The researchers propose a method that shares communication resources on common paths and considers network conditions like congestion. Their simulations show this approach uses resources more efficiently and handles more devices than traditional methods. -
Reliable and Secure Short-Packet Communications in Untrusted Diamond Relay Networks
This project studies secure and reliable communication in networks where data is sent through two untrusted relays. It focuses on short data packets and measures how well the system ensures both reliability and security. The researchers develop mathematical methods to analyze these transmissions. They find that the best performance occurs when the first and second parts of the transmission are balanced, without needing extra noise or jamming.
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Industrial Internet Of Things Project Synopsis & Presentation
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