Dugat-LSTM: Deep learning based network intrusion detection system using chaotic optimization strategy

R Devendiran, AV Turukmane - Expert Systems with Applications, 2024 - Elsevier
Network intrusion is a huge harmful activity to the privacy of the data sharing network. The
activity will result in a cyber-attack, which causes damage to the system as well as the user's …

A survey on Hybrid-CNN and LLMs for intrusion detection systems: Recent IoT datasets

S Elouardi, A Motii, M Jouhari, ANH Amadou… - IEEE …, 2024 - ieeexplore.ieee.org
Recently, the growing popularity of the Internet of Things (IoT) presents a promising
opportunity not only for the expansion of various home automation systems but also for …

Performance metrics of an intrusion detection system through Window-Based Deep Learning models

F Isiaka - Journal of Data Science and Intelligent Systems, 2024 - ojs.bonviewpress.com
Intrusion and prevention technologies perform reliably in harsh conditions by fortifying many
of the world's highest security sites with few defects in high performance. This paper aims to …

[HTML][HTML] Anomaly detection method based on penalty least squares algorithm and time window entropy for Cyber–Physical Systems

J Zhang, Y Yuan, J Zhang, Y Yang, W Xie - Journal of King Saud University …, 2023 - Elsevier
Real-time system status detection must be accurate and reliable due to the close coupling of
Cyber–Physical Systems (CPS) components. In order to improve the effectiveness of the …

CPS-IoT-PPDNN: A new explainable privacy preserving DNN for resilient anomaly detection in Cyber-Physical Systems-enabled IoT networks

YK Saheed, S Misra - Chaos, Solitons & Fractals, 2025 - Elsevier
Abstract The integration of Cyber-Physical Systems (CPS) within the Internet of Things (IoT)
ecosystem has transformed various sectors, enabling intelligent, interconnected …

AICrit: A Design-Enhanced Anomaly Detector and Its Performance Assessment in a Water Treatment Plant

G Raman, A Mathur - Applied Sciences, 2023 - mdpi.com
Critical Infrastructure Security Showdown 2021—Online (CISS2021-OL) represented the fifth
run of iTrust's international technology assessment exercise. During this event, researchers …

An improved reconstruction based multi-attribute contrastive learning for digital twin-enabled industrial system

B Yang, L Zhu, C Dai, S Garg… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Digital Twin (DT) is a promising technology for responding to Industry 4.0 and realizing
comprehensive automation and virtualization. In the Web3. 0-powered 5G/6G era, the …

Toward a reliable network-based intrusion detection model for scada: A classification with reject option approach

PR de Oliveira, EK Viegas, AO Santin… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
Industrial control systems (ICS) are often targeted by highly motivated attackers seeking to
disrupt their services due to its critical nature. Traditional cybersecurity does not provide the …

An Unsupervised Generative Adversarial Network System to Detect DDoS Attacks in SDN

DMB Lent, VGDS Ruffo, LF Carvalho, J Lloret… - IEEE …, 2024 - ieeexplore.ieee.org
Network management is a crucial task to maintain modern systems and applications
running. Some applications have become vital for society and are expected to have zero …

Survey of Intrusion Detection Techniques in Cloud Computing

SM Othman, AY Al-mutawkkil… - Sana'a University Journal …, 2024 - journals.su.edu.ye
With the continued development of cloud computing environments, security measures have
become more im-portant than ever. Intrusion detection systems (IDS) are considered one of …