Optimizing Post-Quantum Hybrid Cryptographic Handshakes and Stream Decoupling for Low-Latency Endpoint Detection Systems under High-Concurrency JVM Environments

Abstract

As quantum computing approaches cryptographic relevance, the imperative to secure modern digital infrastructure against "Harvest Now, Decrypt Later" (HNDL) attacks has intensified. While NIST-standardized Post-Quantum Cryptography (PQC) algorithms like ML-KEM and ML-DSA provide long-term mathematical resilience, transitioning entirely introduces severe operational risks, prompting standards bodies to recommend hybrid cryptographic architectures. However, the computational overhead, high-volume memory allocations, and tail-latency penalties introduced by these dual-layer frameworks within managed execution environments—specifically the Java Virtual Machine (JVM)—remain critical hurdles for real-time endpoint detection and response (EDR) sensors. This paper presents a rigorous empirical analysis and architectural blueprint for optimizing hybrid cryptographic handshakes and stream decoupling under high-concurrency JVM environments. By integrating asynchronous stream wrappers and low-latency garbage collection tuning (ZGC), our framework successfully absorbs the massive polynomial matrix overhead of lattice-based algorithms, maintaining high throughput and minimal tail- latency spikes without violating strict enterprise service-level agreements (SLAs).