WELCOME TO THE VINUNI'S CYBERSECURITY LAB
The VCyber Lab at VinUniversity is a cutting-edge research hub dedicated to pioneering advancements in modern cybersecurity, quantum computing, robotics, and artificial intelligence (AI). Our mission is to push the boundaries of cyber defense technologies, developing innovative solutions to tackle the evolving challenges of digital security in the era of quantum computing and AI-driven cyber threats.
With a strong foundation in cybersecurity research, our lab is actively working on Post-Quantum Cryptography (PQC)—one of the most transformative technologies poised to redefine security in the post-quantum world. We believe that quantum computing’s impact on cybersecurity will be a game-changer, and we are at the forefront of this paradigm shift.
At VCyber Lab, we aim to become a leading cybersecurity research center, particularly in understanding and mitigating the risks posed by quantum computing on cryptographic systems. Through interdisciplinary collaborations and groundbreaking research, we strive to shape the future of secure computing in the quantum era.
OUR RESEARCH FOCUS
Quantum computers will soon break traditional encryption (RSA, ECC, DH), making Post-Quantum Cryptography (PQC) essential for future cybersecurity. At VCyber Lab, we are at the forefront of designing quantum-resistant cryptographic solutions to secure communications, critical infrastructure, and data integrity.
Exploring lattice-based, code-based, and multivariate-based cryptography for future security.
Combining classical and PQC for a smooth transition to quantum-resistant security.
Developing lightweight post-quantum encryption for resource-constrained IoT and cloud environments.
Implementing zero-knowledge proofs, homomorphic encryption, and PQC-secured blockchain for enhanced privacy.
Strengthening VPNs, secure messaging, and authentication systems with PQC.
Creating scalable transition plans to help industries move from classical to quantum-safe encryption.
Artificial Intelligence is transforming cyber defense mechanisms by enabling predictive threat intelligence, automated security responses, and real-time cyber threat detection.
Leveraging deep learning and anomaly detection to identify cyber threats in real time.
Creating autonomous security agents capable of responding dynamically to cyberattacks.
Studying adversarial machine learning to strengthen AI-based cybersecurity systems against manipulation.
Training AI models to recognize evolving cyber threats with high precision.
Exploring how AI can enhance cryptographic resilience in the quantum era.
Implementing lightweight PQC encryption for smart devices, industrial IoT (IIoT), and healthcare IoT.
Developing autonomous cybersecurity systems that detect and prevent attacks on IoT networks.
Applying decentralized, identity-based security for IoT and robotic systems.
Enhancing robotic security frameworks to protect against cyber-physical threats.
Securing edge computing environments to prevent IoT-based cyberattacks.