The call for papers for the Special Issue “Distributed Systems: Algorithms, Methods, and Applications”, to be published in Mathematics (MDPI, Q1), is now open!
As part of the editorial team, I’m pleased to invite original research on: distributed algorithms, security, cryptographic and privacy-preserving methods, cyber-physical and distributed control systems, systems engineering, and practical applications in cloud, IoT, and networked environments.
📅 Deadline for submissions: 31 December 2025
Here is the link to the Special Issue and submission information:
Distributed Systems: Algorithms, Methods, and Applications.
We look forward to your contributions!
Our article, “A Post-Quantum Cryptography Enabled Feature-Level Fusion Framework for Privacy-Preserving Multimodal Biometric Recognition”, has been published in Cryptography (MDPI Open Access). This work introduces a quantum-resilient and privacy-preserving framework for multimodal recognition, capable of seamlessly integrating any binary-encoded biometric modalities through feature-level fusion, thereby ensuring that all sensitive data remains encrypted under the CKKS homomorphic encryption scheme throughout the entire process.
Our article, “A Privacy-Preserving System for Confidential Carpooling Services Using Homomorphic Encryption”, has been published in Advanced Intelligent Systems (Wiley). This study enables encrypted route matching without disclosing users’ locations or routes, ensuring privacy and security even under adversarial conditions, while offering a scalable, quantum-resistant solution for carpooling services that complies with international security standards.
The oral examination session for Information Security will be held in the Professor’s office on 19 February 2025.
Exam schedule
- Student ID: 153248 — 14:00
- Student ID: 134282 — 15:00
- Student ID: 158453 — 16:00
Note: please arrive at least 10 minutes before your scheduled time and bring a printed copy of your project, if applicable.
Our article, “For Your Eyes Only: A Privacy-Preserving Authentication Framework Based on Homomorphic Encryption and Retina Biometrics”, has been published in IEEE Access (IEEE). This framework ensures secure and accurate identity verification by keeping biometric data encrypted throughout the entire authentication process, effectively protecting against replay attacks and data exposure.