About the Project
IoT applications typically collect and analyse personal data that can be used to derive sensitive information about individuals. Thus far, privacy concerns have not been explicitly considered in software engineering processes when designing and developing IoT applications, partly due to a lack of tools, technologies, and guidance. The engineering complexities in the IoT have also forced engineers to focus most of their efforts on addressing other challenges such as interoperability and modifiability, resulting in privacy concerns being largely overlooked. Without proper privacy protection in place, IoT applications could lead to serious privacy violations. Over the last few years, we have seen a number of privacy violations (e.g., Baby monitor, Google smart speaker eavesdropping).
Traditionally, privacy challenges are addressed in an isolated manner by different research communities (e.g. networking, database, software engineering). Such independently developed solutions are complicated to adopt and require significant expert knowledge, time, and resources to incorporate them into an IoT application design.
In contrast, this project aims to develop techniques that can assess a given IoT application design and produce a report that highlights weaknesses (e.g., privacy issues) to augment the software development lifecycle (SDLC).
HOW TO APPLY
Applicants should apply to the Doctor of Philosophy in Computer Science & Informatics.
In the research proposal section of your application, please specify the project title and supervisors of this project and copy the project description in the text box provided. In the funding section, please select the ‘self-funding’ option and specify that you are applying for the Privacy and Security by Design for Internet of Things (Self-Funded Students Only) project
A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject.
Applicants for whom English is not their first language must demonstrate their proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.
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