Cyber-Physical Security for Critical Infrastructures Protection
Description
The 14 full papers presented in this volume were carefully reviewed and selected from 24 submissions. They were organized in topical sections named: security threat intelligence; data anomaly detection: predict and prevent; computer vision and dataset for security; security management and governance; and impact propagation and power traffic analysis.
The book contains 6 chapters which are available open access under a CC-BY license.
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Security Threat Intelligence.- Privacy-Preserving CCTV Analytics for Cyber-Physical Threat Intelligence.- TLSAssistant goes FINSEC: A Security Platform Integration Extending Threat Intelligence Language.- Cyber Threat Monitoring Systems - Comparing attack detection performance of ensemble algorithms.- FINSTIX: a Cyber-Physical Data Model for Financial Critical Infrastructures.- Data Anomaly Detection: Predict & Prevent.- Inferring anomaly situation from multiple data sources in CyberPhysical Systems.- Fusing RGB and Thermal Imagery with Channel State Information for Abnormal Activity Detection using Multimodal Bidirectional LSTM.- A Cloud-Based Anomaly Detection for IoT Big Data.- Computer Vision & Dataset for Security.- An advanced Framework for Critical Infrastructure Protection using computer vision technologies.- A Comprehensive Dataset from a Smart Grid Testbed for Machine Learning based CPS Security Research.- Security Management & Governance.- Cross-Domain Security Asset Management for Healthcare.- Towards a global CIs' cyber-physical security management and joint coordination approach.- Toward a Context-Aware Methodology for Information Security Governance Assessment Validation.- Impact Propagation & Power Traffic Analysis.- Impact Propagation in Airport Systems.- A Comparative Analysis of Emulated and Real IEC-104 Spontaneous Traffic in Power System Networks.