A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems
원문 초록
Digital twins (DTs) help improve real-time monitoring and decision-making in water distribution systems. However, their connectivity makes them easy targets for cyberattacks such as scanning, denial-of-service (DoS), and unauthorized access. Small and medium-sized enterprises (SMEs) that manage these systems often do not have enough budget or staff to build strong cybersecurity teams. To solve this problem, we present a Virtual Cybersecurity Department (VCD), an affordable and automated framework designed for SMEs. The VCD uses open-source tools like Zabbix for real-time monitoring, Suricata for network intrusion detection, Fail2Ban to block repeated login attempts, and simple firewall settings. To improve threat detection, we also add a machine-learning-based IDS trained on the OD-IDS2022 dataset using an improved ensemble model. This model detects cyber threats such as brute-force attacks, remote code execution (RCE), and network flooding, with 92\% accuracy and fewer false alarms. Our solution gives SMEs a practical and efficient way to secure water systems using low-cost and easy-to-manage tools.
함께 살펴볼 논문
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Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs
Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning
Implementing Lightweight Intrusion Detection System on Resource Constrained Devices
Deep Learning Applications for Intrusion Detection in Network Traffic
A Novel Multi-Stage Approach for Hierarchical Intrusion Detection
토론
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