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Nakip M, Gelenbe E. 2024. An Associated Random Neural Network Detects Intrusions and Estimates Attack Graphs. EuroCyberSec 2024. Publications

Nakip M, Gelenbe E. 2024. An Associated Random Neural Network Detects Intrusions and Estimates Attack Graphs. EuroCyberSec 2024.

Conference: EuroCyberSec 2024, 23. October 2024, Krakow, Poland Authors: Nakip M, Gelenbe E. Abstract: Cyberattacks, especially Botnet Distributed Denial of Service (DDoS), increasingly target networked systems, compromise interconnected nodes by constantly spreading malware. In order to prevent these attacks in their early stages, which includes stopping the spread of malware,…
Anna Marton, Safepay Systems
October 5, 2024
Nasereddin M, Nakip M, Gelenbe E. 2024. A Deep Learning based Intrusion Detection and Prevention System for Mitigating DoS Attacks. EuroCyberSec2024 Publications

Nasereddin M, Nakip M, Gelenbe E. 2024. A Deep Learning based Intrusion Detection and Prevention System for Mitigating DoS Attacks. EuroCyberSec2024

Conference: EuroCyberSec 2024, 23. October 2024, Krakow, Poland Authors: Nasereddin M, Nakip M, Gelenbe E. Abstract: Internet of Things (IoT) networks are highly vulnerable to network attacks, the most common examples being DoS and DDoS attacks. Those attacks flood the limited system resources of IoT devices and overwhelm networks with…
Anna Marton, Safepay Systems
October 5, 2024

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101120270 – DOSS.

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the European Commission can be held responsible for them.

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