Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/18332
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dc.contributor.authorBhatia, Vimalen_US
dc.date.accessioned2026-05-14T12:28:25Z-
dc.date.available2026-05-14T12:28:25Z-
dc.date.issued2025-
dc.identifier.citationSaxena, S., Srivastava, A., Bhatia, V., Kumar, P., & Singh, R. R. (2025). Detection Challenges in BB84 Quantum Key Distribution under Random Number Generator Compromise and QBER Analysis. International Symposium on Advanced Networks and Telecommunication Systems, ANTS. https://doi.org/10.1109/ANTS66931.2025.11429807en_US
dc.identifier.isbn979-833152681-8-
dc.identifier.issn2153-1684-
dc.identifier.otherEID(2-s2.0-105036507839)-
dc.identifier.urihttps://dx.doi.org/10.1109/ANTS66931.2025.11429807-
dc.identifier.urihttps://dspace.iiti.ac.in:8080/jspui/handle/123456789/18332-
dc.description.abstractThis paper investigates the compromised random number generator (CRNG) attack, a novel quantum hacking threat to the quantum key distribution (QKD) that compromises random number generators (RNGs) that are crucial for basis selection and key generation. These vulnerabilities at the device level are a complement to previous research on implementation and side-channel attacks against hardware used in quantum communication, which take advantage of real-world flaws rather than the quantum channel itself. By preventing an increase in the quantum bit error rate (QBER), CRNG makes undetected key recovery possible, in contrast to quantum channel attacks. In addition to the above investigation, two methods are highlighted in the paper, namely, parametric tampering and reconstruction, which are supported by a mathematical model. 100% key recovery at insignificant QBER is possible with totally compromised RNGs, according to simulations. The simulations also show how the effect of a noisy quantum channel diminishes the similarity between the recreated key and the legitimate key. The findings highlight the necessity for protections beyond channel monitoring, such as quantum RNGs and hybrid key generation methods, and reveal weaknesses in traditional QKD components. © 2025 IEEE.en_US
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.sourceInternational Symposium on Advanced Networks and Telecommunication Systems, ANTSen_US
dc.titleDetection Challenges in BB84 Quantum Key Distribution under Random Number Generator Compromise and QBER Analysisen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Electrical Engineering

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