Advanced Techniques for Security and Privacy in Information Systems

Dear Colleagues,

The accelerated digitalization of modern societies has placed information systems at the core of critical infrastructures, industrial ecosystems, and public services. As a result, ensuring robust security and privacy has become an urgent global priority. Advanced cyber threats—ranging from large-scale data breaches to sophisticated state-level attacks—continue to exploit vulnerabilities across heterogeneous platforms such as financial services, industrial control systems (ICSs), healthcare environments, and satellite communication networks. These domains require security solutions that not only offer strong theoretical guarantees but also satisfy the practical constraints of real-time operations, high reliability, and safety-critical decision-making.

This Special Issue, “Advanced Techniques for Security and Privacy in Information Systems” aims to bring together state-of-the-art research that addresses the unique challenges of securing next-generation information systems. Cutting-edge developments in cryptography, machine-learning-based threat modeling, privacy-preserving computation, and distributed trust architectures are reshaping how systems are defended in complex and interconnected environments.

Recent advances in post-quantum cryptography, lightweight encryption for embedded systems, zero-knowledge verification, and authenticated secure communication continue to expand the foundation of modern security design. In parallel, developments in privacy-preserving technologies—such as secure multiparty computation, homomorphic encryption, and federated learning—provide mechanisms for analyzing sensitive data without exposing raw information. These capabilities are becoming indispensable in domains such as financial cybersecurity, healthcare data protection, and cross-organizational cyber–physical environments including ICS and satellite networks.

System-level intelligent defense mechanisms are also gaining traction. Machine-learning-driven anomaly detection, adversarial robustness techniques, and automated intrusion detection frameworks are being deployed to protect highly dynamic environments such as ICS networks, hospital information systems, and satellite–ground integrated communication architectures. Similarly, blockchain-based trust frameworks and decentralized identity management are becoming essential tools for ensuring transparency, auditability, and resilience in distributed ecosystems.

This Special Issue welcomes high-quality original research, implementations, and comprehensive surveys that advance our understanding of security and privacy across these sectors. Contributions that address cross-domain applicability—such as harmonizing security requirements between financial and healthcare data, or designing cryptographic protocols that operate reliably in satellite or ICS settings—are particularly encouraged.

We look forward to receiving submissions that advance both the theoretical foundations and practical deployment of secure, privacy-preserving information systems.

Prof. Dr. Jenq-Shiou Leu
Dr. Shih-Hao Chang
Dr. Wen-Bin Hsieh
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• blockchain security
• financial cybersecurity
• healthcare cybersecurity
• ICS cybersecurity
• intrusion detection
• lightweight cryptography
• post-quantum cryptography
• satellite cybersecurity
• secure multiparty computation
• security of information systems
• zero-knowledge proofs