Intrusion detection in IoT systems using denoising autoencoder

FS Alrayes, M Zakariah, SU Amin, ZI Khan… - IEEE Access, 2024 - ieeexplore.ieee.org
Protection against unwanted intrusions is crucial for preserving the integrity and security of
connected devices in the context of Internet of Things (IoT) networks. The growing number of …

Research on adaptive 1DCNN network intrusion detection technology based on BSGM mixed sampling

W Ma, C Gou, Y Hou - Sensors, 2023 - mdpi.com
The development of internet technology has brought us benefits, but at the same time, there
has been a surge in network attack incidents, posing a serious threat to network security. In …

On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case

F Dehrouyeh, L Yang, FB Ajaei, A Shami - arxiv preprint arxiv:2404.16894, 2024 - arxiv.org
As technology advances, the use of Machine Learning (ML) in cybersecurity is becoming
increasingly crucial to tackle the growing complexity of cyber threats. While traditional ML …

[PDF][PDF] Anomaly Network Intrusion Detection System based on Hybrid Feature Selection Method

MSS Moe, WM Oo - researchgate.net
The current increase in hackings and computer network attacks around the world has make
stronger the need to develop better intrusion detection and prevention systems for …