Jul 2026· 2026 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)· pp. 107-112· 0 citations· 17 references
Abstract
In this paper, we recommend an Onion Routing framework powered by federated learning and augmented with E91-based quantum key distribution (QKD) to protect next-generation communication systems like 5G-supported satellite and spaceborne IoT networks. Conventional encryption techniques protect message content but are still susceptible to traffic analysis and developing quantum attacks, necessitating layered, robust protection. In the suggested solution, locally on resourcelimited nodes, lightweight intrusion detection models are trained, whereas just onion-encrypted updates are shared for global aggregation, while keeping privacy intact and bandwidth usage minimum. Onion Routing offers multi-layer anonymity against adversarial eavesdropping, and QKD gives quantum-resilient key distribution immune to cryptanalytic attacks. Experimental testing on the X-IIoTID dataset indicates that the framework records a global accuracy of 98.03% with a loss of 0.0567, which confirms its effectiveness in identifying distributed denial-of-service (DDoS) attacks. Through decentralized intelligence, anonymity, and quantum-level security, this research sets the stage for a scalable and future-proof communication model for vital spaceborne applications.
A High-dimensional Variational Zero-Trust Hopfield Network integrated into the SDN control plane for secure and efficient IIoT communication and demonstrates that the proposed framework provides an efficient, scalable, and secure solution for IIoT-SDN networks under high-load conditions.
G. Senthil, S. Suganthi, R. Deepa· The European Physical Journa...· 0 citations
Federated Learning (FL) enables collaborative model learning without the need to share raw data, but its communication links are vulnerable to interception, replay, and man-in-the-middle (MITM) attacks. The existing key exchange methods rely on computational hardness assumptions, which can be broken by post-quantum att...
M. Kumari, Charvi Suri, Isha Suri· 2026 International Conferenc...· 0 citations
This study proposes a coordinated migration-oriented framework that integrates ML-KEM-1024 key establishment, ML-DSA-87 authentication, authenticated RPL mesh routing, and route-aware zero-trust validation that provides a practical security and migration layer for AMI, DER, and substation communication, while full stan...
A. Alghawli, Ali Raza, Altahir Saad Ahmed et al.· Frontiers in Human Dynamics· 0 citations
The suggested DP-FAL model is a privacy-conserving, scalable, and robust intrusion prevention system that can be used real-time V2X conditions and has the potential to be deployed safely, reliably, and sustainably in next-generation transportation systems.
S. Sonker, V. K. Raina, B. B. Sagar et al.· Discover Computing· 0 citations
With the increasing sophistication of financial frauds, there is now a need for more advanced, secure, and scalable detection mechanisms. A fraud detection framework has been proposed that uses Federated Deep Learning (FDL) and Quantum Key Distribution (QKD) for non-IID financial data while carrying out secure communic...
Param Desai, Mohammad S. Obaidat, Mahek Desai et al.· International Conference on...· 0 citations
G Network Architecture technology is undergoing a revolution in wireless communication, delivering ultra-high data rates, massive device connectivity, low latency and intelligent network automation, all of which are relevant to smart city, healthcare, autonomous vehicle and industrial IoT applications. But with its dis...
N. S. Alex, T. Jaya, R. Prasad· International Conference on...· 0 citations
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