Dear Colleagues,

Industry 4.0 includes many technological aspects that have led to an integrated digital manufacturing environment. The thoroughly interconnected ecosystem of Industry 4.0 has to meet many security challenges and threats for each component. Preserving security plays a crucial role in Industry 4.0, and it is vital for its existence; the key issue is how to ensure the confidentiality, integrity, and availability of the information shared among the Industry 4.0 components.

In addition to this, the significant and rapid inclusion of the Internet of Things (IoT) in our daily lives, together with the rapidly increasing number of cyber security incidents, further stress the need to strengthen cyber resilience and preserving users’ privacy for protecting the information of individuals from exposure in the IoT environment. The large attack surface in terms of connected devices and the complex processes involved in the IoT ecosystem can lead to more sophisticated physical attacks on IoT systems.

With such a wide attack surface, these innovative and emerging infrastructures and applications based on IoT can effectively serve their purpose only if privacy and security challenges are addressed.

This Special Issue aims to solicit high-quality research articles addressing key challenges and state-of-the-art solutions for security and privacy issues related to Industry 4.0 technologies and applications.

Prof. Dr. Chrysostomos Stylios
Dr. Kyriakos Stefanidis
Dr. Vasiliki Liagkou
Guest Editors

Manuscript Submission Information

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• cybersecurity and privacy in industrial environments
• security in cyber–physical environments
• cryptography in I4.0
• security and privacy in industrial control systems
• IoT security and privacy
• IoT system and network security
• privacy protection and privacy-by-design
• blockchains and smart contracts for IoT
• trust issues in intelligent IoT devices
• IoT threat detection and risk management
• incident response and vulnerability management in IoT infrastructures
• IoT privacy protection
• secure data management and trading in industrial environments
• privacy-enhancing technologies for ΙοΤ devices
• IoT Identity management
• artificial intelligence (AI)-based security
• machine learning and data protection for I4.0
• standardization activities for I4.0 security
• quantum and post-quantum I4.0 cryptography
• IoT side-channel attacks