Jul 2026· International Conference Computing Methodologies and Communication· pp. 534-538· 0 citations· 19 references
Abstract
Their combination of adversarial AI attacks with cryptographically relevant quantum computers endangers the traditional public-key infrastructure. This paper proposes a hybrid system that combines real-time deep learning-based threat detection and Quantum Key Distribution (QKD) to secure communication systems. A convolutional neural network with attention mechanism detects network anomalies with 98.4% accuracy on the CIC-IDS-2017 dataset. At the same time, a decoy-state BB84 QKD protocol is used to create symmetric keys on a modeled 40 km fiber channel with a quantum bit error rate of less than 2.5%. A new query fragment caching algorithm cuts the key delivery latency by a factor of 37. Empirical evidence demonstrates the system throughput of 850 Mbps and key generation rate of 12.4 kbps providing a viable roadmap to information-theoretically secure communication when using active cyber threats.
The escalation of security attacks has led to a growing complexity and posed serious challenges for traditional IDS paradigms to securing and sustaining a resilient network infrastructure. Current solutions are generally inefficient at optimizing detection parameters, cannot detect attacks that have previously not been...
M. Anusha, M. Neha, F. Mahammad et al.· 2026 International Conferenc...· 0 citations
A lightweight Post-Quantum Homomorphic Encryption framework for secure network traffic analysis with the intrusion detection dataset from CICIDs 2018 is proposed to achieve network security using intrusion detection data set CICIDS2018.
Mariam Nayab, Muhammad Sajid Qureshi, Abdul Jabbar· International Journal of Art...· 0 citations
The proposed framework can improve threat detection and system resilience in critical infrastructure contexts and support the use of kernel-based quantum-inspired representations as a tunable early-warning layer for PSAP traffic monitoring, while also showing that threshold calibration and operational context remain ne...
Carlos B. Rosa-Remedios, P. Caballero-Gil, J. Molina-Gil· Computers, Materials & C...· 0 citations
The proposed framework integrates post-quantum cryptographic mechanisms based on lattice-based algorithms with a machine learning-driven intrusion detection system to provide a scalable, privacy-preserving, and quantum-resistant security solution for future autonomous and connected vehicles.
Moses O. Bankole· Global Journal of Engineerin...· 0 citations
This systematic review critically examines hybrid models of quantum and classical artificial intelligence, focusing on architectures for quantum key distribution, intrusion detection, network management, and the integration of post-quantum cryptography, concluding that current evidence supports application-specific fea...
Kyiewu Bernard, A. Clinton, Odoi Henry et al.· Journal of Electrical System...· 0 citations
A three-axis taxonomy of QSDC protocols is proposed, classifying them by quantum resource type, physical transmission channel, and device trust model, and it presents a comparative performance analysis of QKD employing a hyperchaotic cipher over QSDC channels across seven quantum image representations, showing that QKD...
S. Deepika, N. Jeyanthi· Frontiers of Physics· 0 citations
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