~ similar to 2605.21349v1· 20 results
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…
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…
Ryan Babbush, Adam Zalcman, Craig Gidney, Michael Broughton +5 more
The paper estimates the quantum resources required to break 256-bit ECC cryptography and warns that fast-clock quantum computers could enable on-spend attacks on modern cryptocurrencies, necessitating…
This paper quantifies the latency impact of increasing certificate chain sizes required by Post-Quantum Cryptography (PQC) on TLS Time to First Byte (TTFB), finding that Merkle Tree Certificates (MTC)…
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 introduces a multi-surface evidence framework to provide comprehensive observability for post-quantum TLS migration, enabling robust measurement of session behavior and endpoint capabilities…
This paper demonstrates a non-disruptive, sidecar-based integration of NIST-standardized Post-Quantum Cryptography (PQC) into an open-source 5G core, showing that while it introduces a predictable lat…
Manik Kumar Sangala, Robin Naira, Akhirul Islam, Sudip Biswas +1 more
This survey provides a comprehensive review of the security challenges, threats, and mitigation strategies associated with the rapid advancement of quantum computing.
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…
Harish Balaji, Aarav Varshney, Prasanna Ravi, Sripal Jain +5 more
This paper addresses the operational challenge of adopting Post-Quantum Cryptography (PQC) in complex financial TLS environments by presenting a methodology to automatically profile and normalize cryp…
Stephan Krenn, Omid Mir, Thomas Lorünser, Sebastian Ramacher +1 more
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…
The paper proposes and evaluates efficient, quantum-safe variants of the Internet Key Exchange (IKE) protocol tailored for the unique resource constraints and latency challenges of satellite communica…
The paper presents Broken Quantum, a comprehensive formal security audit that identifies 547 security vulnerabilities across 45 open-source quantum computing simulators, revealing critical flaws in me…
This techreport evaluates a Tor-based protocol, Tor push, demonstrating that it can significantly enhance the location privacy of Ethereum validators by unlinking their identities from their IP addres…
The paper introduces 'quantum-safe,' a Python library that addresses the remaining 'production gap' in post-quantum cryptography (PQC) by providing robust, easy-to-use hybrid implementations and compr…
Fengxia Liu, Zixian Gong, Kun Tian, Yi Zhang +2 more
The paper introduces a unified framework for Quantum Fully Homomorphic Encryption (QFHE) that achieves exponential efficiency improvements by integrating a novel modular arithmetic program (MAP) tailo…
This paper experimentally compares ML-DSA and SLH-DSA in TLS 1.3, finding that placing SLH-DSA at the server leaf significantly increases computational cost and latency, suggesting upper-layer placeme…
The paper reveals that predictable nonce reuse by Polygon MEV searchers creates a critical vulnerability in ECDSA signatures, allowing passive attackers to recover private keys using linear algebra.
SecureRouter is an encrypted routing and inference framework that accelerates secure transformer inference by adaptively selecting the optimal model size based on the encrypted input, achieving a 1.95…
CHRONOS is a hardware-assisted framework that significantly reduces the latency of secure federated learning by decoupling cryptographic key setup from the active training phase, while maintaining hig…