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V. Chaitanya

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Conference Aug 2026

Quantum Reinforcement Learning Agent for Adaptive Firewall Rule Optimization Under Dynamic Attacks

As attacks grow in sophistication, the requirements for intelligent and adaptive security structures that can make real-time decisions on whether to defend or not, exceed what can be achieved with a rule-based approach. This paper aims to explore a Cyber Security system that uses a Quantum Deep Q-Network (QDQN) framewo...

V. Chaitanya, S. Samreen, G. V. Bhaskar et al. · 0 citations
Conference Aug 2026

Hybrid Quantum Classical Deep Learning Model for Encrypted HTTPS Traffic Classification

As cyberattacks evolve in greater impact and complexity, they have Network traffic classification is a key component of any modern or intelligent cybersecurity system, which includes monitoring, managing network resources, detecting intrusions, and managing application-aware network operations. Unfortunately, with the...

V. Chaitanya, B. Himaja, G. V. Bhaskar et al. · 0 citations

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