Countermeasures for Trojan-Horse Attacks on self-compensating all-fiber polarization modulator

• URL: http://arxiv.org/abs/2510.16868v1
• Date: Sun, 19 Oct 2025 14:58:20 GMT
• Title: Countermeasures for Trojan-Horse Attacks on self-compensating all-fiber polarization modulator
• Authors: Alberto De Toni, Aynur Cemre Aka, Costantino Agnesi, Davide Giacomo Marangon, Giuseppe Vallone, Paolo Villoresi,
• Abstract summary: Quantum Key Distribution (QKD) leverages the principles of quantum mechanics to exchange a secret key between two parties.<n>In a QKD protocol, any attempt by an eavesdropper to intercept the key is detectable.<n>We study the vulnerabilities against THAs of the iPOGNAC encoder, first introduced in Avesani, Agnesi et al.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum Key Distribution (QKD) leverages the principles of quantum mechanics to exchange a secret key between two parties. Unlike classical cryptographic systems, the security of QKD is not reliant on computational assumptions but is instead rooted in the fundamental laws of physics. In a QKD protocol, any attempt by an eavesdropper to intercept the key is detectable: this provides an unprecedented level of security, making QKD an attractive solution for secure communication in an era increasingly threatened by the advent of quantum computers and their potential to break classical cryptographic systems. However, QKD also faces several practical challenges such as transmission loss and noise in quantum channels, finite key size effects, and implementation flaws in QKD devices. Addressing these issues is crucial for the large-scale deployment of QKD and the realization of a global quantum internet. A whole body of research is dedicated to the hacking of the quantum states source, for example using Trojan-Horse attacks (THAs), where the eavesdropper injects light into the system and analyzes the back-reflected signal. In this paper, we study the vulnerabilities against THAs of the iPOGNAC encoder, first introduced in Avesani, Agnesi et al., to propose adapted countermeasures that can mitigate such attacks.

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