2176 matches found
Quantum-Resistant Cryptographic Models for Next-Gen Cybersecurity
Another threat is the development of large quantum computers, which have a high likelihood of breaking the high popular security protocols because it can use both Shor and Grover algorithms. In order to fix this looming threat, quantum-resistant cryptographic systems, otherwise known as...
Cyber Threat Detection Enabled by Quantum Computing
Threat detection models in cybersecurity must keep up with shifting traffic, strict feature budgets, and noisy hardware, yet even strong classical systems still miss rare or borderline attacks when the data distribution drifts. Small, near-term quantum processors are now available, but existing...
Optimizing Epsilon Security Parameters in QKD
We investigate the optimization of epsilon-security parameters in quantum key distribution QKD, aiming to improve the achievable secure key rate under a fixed overall composable security level. For this purpose, we employ a continuous genetic algorithm CGA to optimize the epsilon-security...
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
The increasing number of cyber threats and rapidly evolving tactics, as well as the high volume of data in recent years, have caused classical machine learning, rules, and signature-based defence strategies to fail, rendering them unable to keep up. An alternative, Quantum Machine Learning QML, h...
Quantum Disruption: An SOK of How Post-Quantum Attackers Reshape Blockchain Security and Performance
As quantum computing advances toward practical deployment, it threatens a wide range of classical cryptographic mechanisms, including digital signatures, key exchange protocols, public-key encryption, and certain hash-based constructions that underpin modern network infrastructures. These...
Quantigence: A Multi-Agent AI Framework for Quantum Security Research
Cryptographically Relevant Quantum Computers CRQCs pose a structural threat to the global digital economy. Algorithms like Shor's factoring and Grover's search threaten to dismantle the public-key infrastructure PKI securing sovereign communications and financial transactions. While the timeline...
FiD-QAE: A Fidelity-Driven Quantum Autoencoder for Credit Card Fraud Detection
Credit card fraud detection is a critical task in financial security, as fraudulent transactions are rare, highly imbalanced, and often resemble legitimate ones. A wide range of classical machine learning methods, as well as more recent quantum machine learning approaches, have been investigated ...
Quantum-Augmented AI/ML for O-RAN: Hierarchical Threat Detection with Synergistic Intelligence and Interpretability (Technical Report)
Open Radio Access Networks O-RAN enhance modularity and telemetry granularity but also widen the cybersecurity attack surface across disaggregated control, user and management planes. We propose a hierarchical defense framework with three coordinated layers-anomaly detection, intrusion...
Pattern Based Quantum Key Distribution Using the Five Qubit Perfect Code for Eavesdropper Detection
I propose a new quantum key distribution protocol that uses the five qubit error correction code to detect the presence of eavesdropper reliably. The protocol turns any information theoretical attacks into a classical guess about the pattern. The logical qubit is encoded with a specific pattern...
True Random Number Generators on IQM Spark
Random number generation is fundamental for many modern applications including cryptography, simulations and machine learning. Traditional pseudo-random numbers may offer statistical unpredictability, but are ultimately deterministic. On the other hand, True Random Number Generation TRNG offers...
Post-quantum X509 Signature Algorithms
This plugin detects which post-quantum TLS signature algorithms are supported by the remote service. TRUSTED...
Remote Services Using Post-Quantum Ciphers
This plugin reports network services that offer post-quantum ciphers and enumerates the post-quantum ciphers that they offer. Tenable makes no attempt to determine whether the remote service is actually hardened against a post-quantum attack. TRUSTED...
Remote Services Not Using Post-Quantum Ciphers
This plugin reports network services that do not offer post-quantum ciphers. Tenable makes no attempt to determine whether the remote service would be vulnerable to a post-quantum attack. However, cryptography that depends on the classic difficulty of solving the discrete logarithm problem or on...
Frequency-Matching Quantum Key Distribution
Quantum key distribution QKD enables information-theoretically secure communication against eavesdropping. However, phase instability remains a challenge across many QKD applications, particularly in schemes such as twin-field QKD and measurement-device-independent QKD. The most dominant source o...
Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection
Unsupervised anomaly-based intrusion detection requires models that can generalize to attack patterns not observed during training. This work presents the first large-scale evaluation of hybrid quantum-classical HQC autoencoders for this task. We construct a unified experimental framework that...
Digital Signatures: Traditional Vs. Post-Quantum Cryptographic Mechanisms
Secure your connections against quantum threats. Learn about post-quantum cryptography and digital signatures...
Adversarial Limits of Quantum Certification: When Eve Defeats Detection
Security of quantum key distribution QKD relies on certifying that observed correlations arise from genuine quantum entanglement rather than eavesdropper manipulation. Theoretical security proofs assume idealized conditions, practical certification must contend with adaptive adversaries who...
Equilibrium SAT Based PQC: New Aegis against Quantum Computing
Public-key cryptography algorithms have evolved towards increasing computational complexity to hide desired messages, which is accelerating with the development of the Internet and quantum computing. This paper introduces a novel public-key cryptography algorithm that generates ciphertexts by...
Decryption Thorough Polynomial Ambiguity: Noise-Enhanced High-Memory Convolutional Codes for Post-Quantum Cryptography
We present a novel approach to post-quantum cryptography that employs directed-graph decryption of noise-enhanced high-memory convolutional codes. The proposed construction generates random-like generator matrices that effectively conceal algebraic structure and resist known structural attacks...