Research at QuantaWave Cyber R&D Lab
Convergent research across cybersecurity, quantum technologies and high-performance computing — producing validated prototypes, publications and demonstrators.
Core Research Areas
QuantaWave Cyber R&D Lab focuses on convergent research across cybersecurity, quantum technologies, and high-performance systems.
AI-Driven Threat Detection
Machine- and deep-learning models for behavioral analytics, anomaly detection, automated triage, and reducing time-to-detect for ransomware, APTs, and insider threats.
Network & Cloud Security
Real-time traffic inspection, secure service mesh design, container/Kubernetes hardening, and secure cloud posture automation for enterprise deployments.
Cryptography & Post-Quantum Security
Research into quantum-resistant cryptographic algorithms, secure key management, and hybrid classical-quantum schemes to prepare systems for the post-quantum era.
Quantum-Secure Communications (QKD)
Prototyping and evaluation of Quantum Key Distribution systems, quantum-random-number generation, and hybrid secure channels combining QKD with classical networks.
Security Automation & SOAR
Automated playbooks, orchestration of detection-response workflows, and integration of telemetry pipelines to compress incident response loops.
Quantum Machine Learning (QML)
Exploratory research into quantum-enhanced models for pattern recognition, anomaly scoring, and optimization problems relevant to cybersecurity and signal processing.
Cyber Range & Testing
Realistic simulation environments for adversary emulation, red-team/blue-team exercises, and validation of defensive controls at scale.
Quantum-Resistant Blockchain Security
Research on post-quantum signatures, secure consensus mechanisms, and resilience of distributed ledgers against quantum-enabled attacks.
Cyber-Physical Systems & IoT Security
Securing smart sensors, autonomous systems, and industrial IoT through lightweight cryptography, secure firmware, and real-time anomaly detection.