This book constitutes the proceedings of the satellite workshops held around the 21st International Conference on Applied Cryptography and Network Security, ACNS 2023, held in Kyoto, Japan, in June 2023.The 34 full papers and 13 poster papers presented in this volume were carefully reviewed and selected from 76 submissions. They stem from the following workshops: ·  1st ACNS Workshop on Automated Methods and Data-driven Techniques in Symmetric-key Cryptanalysis (ADSC 2023) ·        5th ACNS Workshop on Application Intelligence and Blockchain Security (AIBlock 2023) ·        4th ACNS Workshop on Artificial Intelligence in Hardware Security (AIHWS 2023) ·        5th ACNS Workshop on Artificial Intelligence and Industrial IoT Security (AIoTS 2023) ·        3rd ACNS Workshop on Critical Infrastructure and Manufacturing System Security (CIMSS 2023) ·        5th ACNS Workshop on Cloud Security and Privacy (Cloud S&P 2023) ·        4th ACNS Workshop on Secure Cryptographic Implementation (SCI 2023) ·        4th ACNS Workshop on Security in Mobile Technologies (SecMT 2023) ·        5th ACNS Workshop on Security in Machine Learning and its Applications (SiMLA 2023)

This book targets the key concern of protecting critical infrastructures such as smart grids. It explains various static and dynamic security analysis techniques that can automatically verify smart grid security and resiliency and identify potential attacks in a proactive manner. This book includes three main sections. The first presents the idea of formally verifying the compliance of smart grid configurations with the security and resiliency guidelines. It provides a formal framework that verifies the compliance of the advanced metering infrastructure (AMI) configurations with the security and resiliency requirements, and generates remediation plans for potential security violations. The second section covers the formal verification of the security and resiliency of smart grid control systems by using a formal model to analyze attack evasions on state estimation, a core control module of the supervisory control system in smart grids. The model identifies attack vectors that can compromise state estimation. This section also covers risk mitigation techniques that synthesize proactive security plans that make such attacks infeasible. The last part of the book discusses the dynamic security analysis for smart grids. It shows that AMI behavior can be modeled using event logs collected at smart collectors, which in turn can be verified using the specification invariants generated from the configurations of the AMI devices. Although the focus of this book is smart grid security and resiliency, the included formal analytics are generic enough to be extended to other cyber-physical systems, especially those related to industrial control systems (ICS). Therefore, industry professionals and academic researchers will find this book an exceptional resource to learn theoretical and practical aspects of applying formal methods for the protection of critical infrastructures.

This book targets the key concern of protecting critical infrastructures such as smart grids. It explains various static and dynamic security analysis techniques that can automatically verify smart grid security and resiliency and identify potential attacks in a proactive manner. This book includes three main sections. The first presents the idea of formally verifying the compliance of smart grid configurations with the security and resiliency guidelines. It provides a formal framework that verifies the compliance of the advanced metering infrastructure (AMI) configurations with the security and resiliency requirements, and generates remediation plans for potential security violations. The second section covers the formal verification of the security and resiliency of smart grid control systems by using a formal model to analyze attack evasions on state estimation, a core control module of the supervisory control system in smart grids. The model identifies attack vectors that can compromise state estimation. This section also covers risk mitigation techniques that synthesize proactive security plans that make such attacks infeasible. The last part of the book discusses the dynamic security analysis for smart grids. It shows that AMI behavior can be modeled using event logs collected at smart collectors, which in turn can be verified using the specification invariants generated from the configurations of the AMI devices. Although the focus of this book is smart grid security and resiliency, the included formal analytics are generic enough to be extended to other cyber-physical systems, especially those related to industrial control systems (ICS). Therefore, industry professionals and academic researchers will find this book an exceptional resource to learn theoretical and practical aspects of applying formal methods for the protection of critical infrastructures.