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Title: A privacy preserving approach to security analytics within a smart city
Author: Richardson, Christopher
ISNI:       0000 0004 7232 9024
Awarding Body: Lancaster University
Current Institution: Lancaster University
Date of Award: 2017
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An architecture was developed which concentrates on the addition of Privacy Enhancing Technologies to a security analytics architecture. In order to validate the efficacy of such an architecture an implementation involving a smart city (a city which makes extensive use of technology to improve aspects such as efficiency) was developed based on the architecture, which is capable of detecting attacks in a privacy preserving manner. It is important to protect the privacy of people whose data is being captured, therefore Privacy Enhancing Technologies were used to accomplish this. A subset of a smart city was chosen for the implementation and evaluation, namely a smart grid, which represents an important area of a smart city. The architecture was evaluated through this implementation in terms of performance and accuracy metrics as well as via a qualitative evaluation.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available