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Shared Secrets using Shared Wireless Fingerprints

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dc.contributor.author Hussain, Ishra
dc.date.accessioned 2023-11-07T07:41:13Z
dc.date.available 2023-11-07T07:41:13Z
dc.date.issued 2023
dc.identifier.other 329924
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/40386
dc.description Supervisor: Dr. Taha Ali en_US
dc.description.abstract Due to the growing popularity of wearable devices, robust and quick pairing procedures that provide user convenience while meeting high security standards are required. Using fingerprint-based authentication and bloom filters, this thesis provides a novel technique to secure pairing for neighboring wearable devices. Devices that are in near proximity of one another are paired to one another by sharing some common keys based on sim ilar traffic that they both listen, the key is continuously updated to provide the added security feature. Hence wearable devices in near vicinity are communicating with one another and their communication is secured with shared key. The designed approach solves previous techniques limitations by improving security, simplifying the pairing process, and improving the user experience. Bloom filters, which are probabilistic data structures with low memory needs, are used in the design of a fingerprint-based safe pairing system. The system’s goal is to reduce reliance on direct communication while also optimizing device resources. The fingerprint-based identification system is immune to spoofing attacks, has a more efficient and secure communication protocol that priori tizes user privacy, and optimizes the computational and memory requirements of bloom filters for lower resource use. The results show that the suggested secure pairing system is more secure than existing approaches, simplifies the pairing procedure, and enhances the overall user experience. It lessens reliance on direct communication, leading to increased compatibility across various wearable device types and platforms. The system optimizes device resources to ensure optimal power consumption and performance. Furthermore, its scalability and versatility offer new possibilities for applications in medical care, activities such as sports, manufacturing IoT, and smart home automation. The findings of this study have implications for a variety of fields in which wearable devices are used, encouraging the development and use of secure and efficient pairing systems. en_US
dc.language.iso en en_US
dc.publisher School of Electrical Engineering and Computer Sciences (SEECS), NUST en_US
dc.title Shared Secrets using Shared Wireless Fingerprints en_US
dc.type Thesis en_US


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