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This book constitutes the refereed proceedings of the First International Workshop on Cyber-Physical Security for Critical Infrastructures Protection, CPS4CIP 2020, which was organized in conjunction with the European Symposium on Research in Computer Security, ESORICS 2020, and held online on September 2020.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.
List of contents
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.
