3 papers
cs.CR2026
A Predictive Neural Network Architecture for Early Detection of Low-Rate Cyberattacks
Mert Nakıp
Low-Rate Denial of Service (LDoS) attacks pose a significant challenge to IoT networks due to their subtle and prolonged nature, often evading traditional intrusion detection syste…
cs.CR2024
Online Self-Supervised Deep Learning for Intrusion Detection Systems
Mert Nakıp, Erol Gelenbe
This paper proposes a novel Self-Supervised Intrusion Detection (SSID) framework, which enables a fully online Deep Learning (DL) based Intrusion Detection System (IDS) that requir…
cs.CR2024
Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed
Mohammed Nasereddin, Mert Nakıp, Erol Gelenbe
The IoT is vulnerable to network attacks, and Intrusion Detection Systems (IDS) can provide high attack detection accuracy and are easily installed in IoT Servers. However, IDS are…