Network Security and Intrusion Detection

This research aims to provide a foundational resource to guide future research on reliable, explainable, and practical IoT intrusion detection systems by identifying the problems addressed in current research and highlighting the limitations in the literature.

Özet henüz yok.

Supervisory Control and Data Acquisition (SCADA) systems play a key role in various industrial processes. Due to their key role in critical infrastructures, in recent years, they have become the target of cyber attackers. In this research, we propose an intelligent security hardening approach for SCADA systems using m…

This study aims to simulate the tactics and techniques of APT38 (Lazarus), one of the prominent cyber threat actors, as defined within the MITRE ATT&CK framework, in a virtualized corporate network environment, and to analyze the detection capabilities of existing security solutions against these attacks. During the s…

This research aims to evaluate the detection and management capabilities of an integrated security system named Sentinel, developed within an MQTT-based IoT simulation environment, against various cyberattack scenarios targeting IoT devices. It virtually models four types of devices and systematically applies attack t…

Özet henüz yok.

Özet henüz yok.

The Internet of Things (IoT) is now used across many connected settings, yet a large number of edge devices and gateways still have limited memory, processing capacity, and energy. Because of this, deployability becomes a central issue in intrusion detection, not something secondary to model accuracy. A detector that…

Özet henüz yok.

Özet henüz yok.

Endüstriyel kontrol sistemleri (EKS), çalışma yapısı gereği farklı ağ mimarilerinde olan karmaşık iletişim yapısına sahip sistemlerdir. Güvenli ağ mimarisi kısıtları, global standartlar ile tanımlansa da farklı yorumlamalardan dolayı birbirinden farklı endüstriyel ağ mimarileri ortaya çıkmaktadır. Siber güvenlik kapsa…

This paper presents the development and evaluation of an Intrusion Detection System (IDS) based on a Denoising Autoencoder (DAE). Three benchmark datasets—NSL-KDD, UNSW-NB15, and CTU-IoT—were used to assess the model’s capability to detect anomalous network behavior across diverse environments. The proposed DAE achiev…