67 citations · 127 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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…
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection
Mert Nakıp, Baran Can Gül, Erol Gelenbe
Cyberattacks are increasingly threatening networked systems, often with the emergence of new types of unknown (zero-day) attacks and the rise of vulnerable devices. Such attacks ca…
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…
Real-Time Cyberattack Detection with Offline and Online Learning
Erol Gelenbe, Mert Nakıp
This paper presents several novel algorithms for real-time cyberattack detection using the Auto-Associative Deep Random Neural Network, which were developed in the HORIZON 2020 IoT…