Cybersecurity Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Cybersecurity 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.

Cybersecurity Final Year Projects

A Network Intrusion Detection System for Building Automation and Control Systems

This project focuses on improving security for building automation systems, like smart lighting and HVAC controls. The researchers designed a network intrusion detection system that can detect attacks across different building system protocols, not just one. They built and tested a working version for KNX, a common building automation protocol, using a real installation to show it works. The system aims to make smart buildings safer from cyber threats.
Attack Detection for Medical Cyber-Physical SystemsA Systematic Literature Review

This project looks at cyber attacks in hospitals, focusing on medical cyber-physical systems, which include devices connected to hospital networks. The researchers reviewed existing studies to understand how intrusions are detected, what datasets are used, and what gaps exist. They found that most work focuses on detecting unusual activity at the network level, often targeting insider threats. The study suggests creating specialized hospital datasets, improving standards, and developing methods that use medical context to better prevent cyber attacks and protect patients.
IoT Network Cybersecurity Assessment With the Associated Random Neural Network

This project develops a smart system to detect hacked devices in an IoT network. It uses a special type of neural network that looks at all devices together instead of checking them one by one. The system learns from real attack data to decide whether each device is safe or compromised. Tests show it works better than older methods.
A Bayesian Deep Learning Approach With Convolutional Feature Engineering to Discriminate Cyber-Physical Intrusions in Smart Grid Systems

This project focuses on protecting smart power grids from cyber attacks. It combines a Bayesian method with deep neural networks to detect unusual or harmful activities in the grid. The system can tell normal events from attacks more accurately than traditional methods. Tests on real industrial data show it works better than older approaches.
A Review on Data-Driven Security Assessment of Power Systems Trends and Applications of Artificial Intelligence

This project focuses on making electricity networks safer and more reliable. As power systems become more complex with renewable energy and modernization, assessing their security in real time is challenging. The study reviews how artificial intelligence can quickly and accurately monitor power systems, predict potential risks, and suggest corrective actions. It also compares different AI-based methods to understand their strengths and weaknesses for future improvements.
The Influence of Artificial Intelligence on E-Governance and Cybersecurity in Smart Cities A Stakeholders Perspective

This project studies how artificial intelligence can help improve cybersecurity in government digital services. It looks at how AI and e-Governance together protect systems from cyber threats. The research also shows that the involvement of different stakeholders, like experts and officials, is important for stronger security. The findings help governments of smart cities make their online services safer and more reliable.
A Novel Mechanism for Misbehavior Detection in Vehicular Networks

This project focuses on making smart traffic systems safer. It studies networks where vehicles communicate with each other and identifies unusual behavior that could signal attacks. The system detects these threats, blocks harmful vehicles, and keeps a record of suspicious activity. Tests show it works accurately with very few mistakes.
Modeling of Reptile Search Algorithm With Deep Learning Approach for Copy Move Image Forgery Detection

This project focuses on detecting copy-move forgery in images, where parts of an image are copied and pasted to hide or duplicate content. It uses a deep learning model called NASNet to identify important features in images. The reptile search algorithm is applied to fine-tune the model for better accuracy. Finally, XGBoost classifies regions of the image as real or forged, and experiments show that this approach outperforms recent methods.

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At Final Year Projects, we provide complete guidance for Cybersecurity 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.

Our team has over 10 years of experience guiding students in Computer Science, Electronics, Electrical, and other engineering domains. We support students across India, including Hyderabad, Mumbai, Bangalore, Chennai, Pune, Delhi, Ahmedabad, Kolkata, Jaipur and Surat. International students in the USA, Canada, UK, Singapore, Australia, Malaysia, and Thailand also benefit from our expert guidance.

Cybersecurity Project Synopsis & Presentation

Final Year Projects helps prepare Cybersecurity 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.

Cybersecurity Project Thesis Writing

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

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Cybersecurity Research Paper Support

We offer complete support for Cybersecurity research papers. Services include writing, editing, and proofreading for journals and conferences.

We accept Word, RTF, and LaTeX formats. Every paper is reviewed to meet IEEE and publication standards, improving acceptance chances. Our guidance ensures that students produce high-quality, publication-ready research papers.

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Cybersecurity Final Year Projects with Source Code