Abstract

As digital systems continue to evolve in complexity, protecting user identities and ensuring the secure transmission of data has become paramount. Conventional techniques such as passwords and digital signatures are often insufficient to address modern security threats unless paired with more sophisticated technologies. This thesis proposes a framework that integrates Blockchain Technology with Elliptic Curve Cryptography (ECC) to fortify identity verification protocols and enhance location-obscuring methods. Blockchain’s inherent features of decentralization, immutability, and non-repudiation makes it an ideal platform for secure data exchange. When combined with ECC, which provides robust encryption with smaller key sizes, the system achieves a heightened level of security and privacy without imposing significant computational overhead. This research focuses on leveraging the strengths of both Blockchain and ECC to create a decentralized, secure framework that addresses identity and location privacy concerns. Through architectural design, data flow design, and the integration of smart contracts, the system ensures that user data is protected and anonymized, making it resilient to unauthorized access and location tracking. Additionally, smart contracts enforce strict access controls and ensure that identity and location data can only be accessed by authorized parties. The system’s ability to anonymize location data through techniques such as cloaking further strengthens privacy protection, reducing the risk of unauthorized tracking

Publication Date

2024

Document Type

Thesis

Student Type

Graduate

Degree Name

Computing Security (MS)

Department, Program, or Center

Electrical Engineering

Advisor

Huda Saadeh

Advisor/Committee Member

Kevser Akpinar

Advisor/Committee Member

Khalil Al Hussaeni

Campus

RIT Dubai

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