The paper develops a robust framework for covert quantum communication by analyzing performance over quantum channels with bounded uncertainty in transmissivity and noise, showing that worst-case secu…

The paper analyzes robust covert wireless communication under bounded uncertainty, demonstrating that the adverse conditions governing reliability and covertness are distinct, thus requiring a conflic…

The paper demonstrates that soft fusion in multi-warden covert communication has structural limits, showing that the Fusion Center gains no significant detection advantage from randomizing the number…

The paper proposes a quantum-resistant quantum teleportation (QRQT) framework using post-quantum cryptography to secure the classical channel, establishing maximum secure communication distances and a…

The paper proposes a spatially adaptive detection method using single-photon detector arrays to reject noise and improve the performance of satellite-based Quantum Key Distribution (SatQKD) under atmo…

This paper provides a comprehensive, system-level taxonomy for designing quantum-resistant network architectures, moving beyond simple protocol substitutions to address key distribution and management…

The paper proposes a provably secure path validation protocol for large-scale Quantum Key Distribution (QKD) networks that allows receivers to verify network compliance without revealing sensitive top…

This paper systematically analyzes the Quantum Bit Error Rate (QBER) in the BB84 Quantum Key Distribution protocol, demonstrating its use for quantifying channel noise and detecting eavesdropping, par…

The paper introduces covert quantum computing, a framework to ensure privacy in multi-tenant quantum cloud environments, and finds that while local crosstalk is limited, long-range coupling effects cr…

The paper reviews adversarial machine learning vulnerabilities and proposes conceptual frameworks for enhancing AI robustness by integrating quantum computing techniques.

The paper reviews the vulnerability of AI to adversarial attacks and proposes conceptual frameworks for enhancing AI robustness by integrating quantum computing techniques.

The paper presents a high-speed, phase-noise-based Quantum Random Number Generator (QRNG) that achieves a post-processed generation rate of 1.0 Gbps, suitable for real-time secure applications.

The paper proposes a layered, modular network architecture combining Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC) to achieve scalable, end-to-end post-quantum security in multi-h…

The paper proposes a formal framework to analyze how the combined cryptographic transformations across all layers of a network stack determine the overall post-quantum security posture of a message.

The paper develops a unified mathematical framework to analyze the interaction between post-quantum security, real-time communication constraints, and closed-loop stability in safety-critical turbofan…

The paper develops a structurally justified framework for measuring Quantum Cryptographic Exposure (HNDL) by showing that the compromise probability factorizes into distinct, interacting components ba…

This survey provides a comprehensive review of the security challenges, threats, and mitigation strategies associated with the rapid advancement of quantum computing.

The paper introduces a multi-surface evidence framework to provide comprehensive observability for post-quantum TLS migration, enabling robust measurement of session behavior and endpoint capabilities…

Quantum Gatekeeper is a robust, multi-factor context-bound image steganography framework that embeds payloads using LSB and derives a gate key from a Variational Quantum Circuit (VQC), ensuring recove…

The paper introduces Aquaman, a transparent-proxy architecture that enables quantum-resilient session-key establishment at the network edge, protecting clients that cannot natively support post-quantu…