Research And Development Intern
National Institution of Technology (Hybrid)
Developed NIDML, a machine learning-based IDS integrating various algorithms, achieving 93.03%-99.96% accuracy on the LUFlow dataset, addressing interpretability, scalability, and adversarial-resilience issues. Deployed in a real-world scenario, showing superior threat identification compared to traditional IDS.