Intrusion Detection System using Machine Learning for Network Traffic
Classifies live network packet flows as benign or malicious using a random-forest model trained on the CICIDS dataset, achieving 96% detection accuracy with low false-positive rates.
- Project code
- AUX-SEC-1401
- Domain
- Cyber Security
- Type
- Software project
- Level · Year
- Advanced · 2025-26
Technologies and components
What is included
- Complete source code
- Database / dataset and setup guide
- Project report (college format)
- PPT for review and viva
- Installation and demo support
- Viva question guidance
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View project →Frequently asked questions
Can I get the Intrusion Detection System using Machine Learning for Network Traffic project for my final year?
Yes. This project (code AUX-SEC-1401) is available as a software project kit for the 2025-26 academic year. Contact us on WhatsApp to request it.
Can this project be customised?
Yes. Features, technology and documentation can be modified to suit your guide and college requirements.
Which departments is this project suitable for?
CSE, IT, AI & DS, BCA and MCA students, and ECE students interested in software.
Get this project with full support
Ask about customisation, delivery time and viva support.
