Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9214
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorBhatia, Vimal-
dc.contributor.authorMALVIYA, SHIVANSH-
dc.date.accessioned2024-12-09T10:02:08Z-
dc.date.available2024-12-09T10:02:08Z-
dc.date.issued2024-12-
dc.identifier.citation51en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9214-
dc.description.abstractThis work investigates the implementation of a secure Quantum Key Distribution (QKD) protocol, BB84, within an Optical Data Center Network (ODCN), focusing on key negotiation under varying noise levels and adversarial attacks. A Fully Classical Model, where encoding and noise were simulated using classical methods, and a Hybrid Model, which uses Qiskit SDK to simulate quantum noise and quantum-specific encoding, were developed to assess key metrics like Quantum Bit Error Rate(QBER) and Secure Key Rate(SKR). Two error-correction techniques were used: Hamming, and Cascade. Cascade was able to manage higher error rates; the QBER threshold was chosen liberally---0.25, particularly in the presence of an eavesdropper. The network’s performance, measured by the Success Ratio of Connection Requests (SRCR), Time-slot Utilization Ratio (TUR) and Network Security Performance (NSP) were similar to the values available in literature. The higher error rate and eavesdropping degraded the performance of key negotiation, which lowered the SKR, underscoring the system's vulnerability at high QBER values.en_US
dc.description.sponsorshipCC&BT, MeitYen_US
dc.language.isoenen_US
dc.subjectBB84en_US
dc.subjectQKD Simulationen_US
dc.subjectQuantum Key Distributionen_US
dc.subjectOptical Data Center Networksen_US
dc.subjectResource Allocationen_US
dc.subjectError Correctionen_US
dc.titleStudy and Design of Efficient and Resilient Quantum Key Distribution Systemen_US
dc.typeThesisen_US
dc.description.embargoOne Yearen_US
dc.type.degreeBS-MSen_US
dc.contributor.departmentDept. of Physicsen_US
dc.contributor.registration20191175en_US
Appears in Collections:MS THESES

Files in This Item:
File Description SizeFormat 
20191175_MALVIYA_SHIVANSH_MS_ThesisMS Thesis2.62 MBAdobe PDFView/Open    Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.