Mathematical Modeling and Analysis for the Security and Privacy of Cyber–Physical Systems (CPSs)
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 6
Special Issue Editor
Special Issue Information
Dear Colleagues,
Cyber–Physical Systems (CPSs) tightly integrate sensing, computation, communication, and actuation to interact with—and often control—critical infrastructures, industrial processes, transportation, healthcare, and smart city services. Their pervasiveness and real time constraints make CPSs attractive yet vulnerable targets for adversaries seeking to disrupt physical processes, exfiltrate sensitive data, or compromise user safety. Recent incidents such as ransomware induced plant shutdowns, vehicular firmware attacks, and hospital device breaches highlight the urgency of advancing security and privacy research for CPSs. Robust, mathematically grounded defenses and engineering level countermeasures are therefore essential for sustaining trust in next generation intelligent systems.
We are pleased to invite you to contribute to the Special Issue “Mathematical Modeling and Analysis for the Security and Privacy of Cyber–Physical Systems (CPSs)”.
This Special Issue aims to assemble a cross‑disciplinary collection of at least ten high‑quality articles that deepen our theoretical understanding and practical mitigation of CPS security and privacy risks.Contributions on CPS—ranging from rigorous mathematical analyses and algorithmic designs to hardware–software co‑engineering approaches—are warmly welcomed. Contributions should demonstrate clear relevance to CPSs and advance the state of the art in modeling threats, proving security guarantees, or engineering resilient architectures.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:
- Formal Modeling & Verification
- Game theoretic or control theoretic threat models
- Logic based and model checking techniques for safety–security co analysis
- Cryptographic & Privacy Preserving Mechanisms
- Lightweight authentication and key management protocols for resource constrained devices
- Differential privacy and secure multi party computation for CPS data sharing
- Machine Learning for CPS Security
- Anomaly detection, intrusion detection, and predictive maintenance using AI/ML
- Robust and explainable ML techniques resilient to adversarial manipulation
- Network & Communication Security
- Secure time synchronization and real time communication protocols
- 5G/6G and edge cloud architectures for mission critical CPSs
- Hardware & Embedded System Security
- Side channel, fault injection, and firmware attacks on sensors/actuators
- Physically unclonable functions (PUFs) and trusted execution environments
- Safety–Security Co Design
- Resilience metrics that jointly capture reliability, safety, and cybersecurity
- Adaptive control strategies under cyber attacks and cascading failures
- Algebraic theories related to security
- Code and sequence design for communication security
- Algebraic design of cryptographic functions
I look forward to receiving your contributions.
Dr. Jin-Ho Chung
Guest Editor
Manuscript Submission Information
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Keywords
- cyber–physical systems security
- privacy preservation
- formal verification
- anomaly detection
- lightweight cryptography
- resilient control systems
- algebraic design for security
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