IEEE

eIDPS: A real-time eBPF-based and Machine Learning-powered Network Intrusion Detection and Prevention Solution

Abstract: As technology evolves rapidly, more and more critical infrastructures are going online. Malicious individuals more often than not try to exploit such infrastructures; thus, cyber-attacks ...
GitHub

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...
IEEE

FSL-IDS: Federated Semi-Supervised Learning Intrusion Detection System for In-Vehicle Networks

Abstract: Intelligent in-vehicle networks (IVNs) are increasingly exposed to complex security threats. Traditional supervised deep learning methods depend heavily on extensive labeled datasets, ...

Rohith Vegensa: Cybersecurity In Fueling Systems-Protecting Transactions And Preventing Fraud

Rohith Vegesna is a software engineer specializing in secure, cloud-connected fueling systems, with a strong focus on IoT, real-time monitoring, and cybersecurity.