The Question of Privacy in the Quantum Era: A Systematic Literature Review on Privacy by Design, Differential Privacy, and Privacy Engineering Frameworks Using NLP Technqiues
Abstract
Quantum technology is set to revolutionize the way we interact with a variety of different industries- disrupting people, processes, and other technologies at an exponential rate. As of now, the majority of our trusted encryption methods, such as Rivest-Shamir-Adleman (RSA), Elliptic Curve Digital Signature Algorithm (ECDSA), and Diffie-Hellman are not quantum-resistant. Therefore, a malicious actor in possession of a powerful enough quantum computer will be able to break encryption on files that may include sensitive data with ease in minimal time. This thesis provides insight on the current privacy landscape in quantum literature and demonstrates the existing research gap that requires further research contributions via a systematic literature review using two NLP techniques for keyword extraction. A taxonomy is produced as an outcome of a systematic review on 61 papers published between 2003 and 2023 with at least 5 citations, using two different natural language processing methods, deep learning and NVIVO.
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