Automated Identification of Behavioural Dynamics for Secure Mobile Banking (FAC17-R/CIS/JIANG)

Behavioural biometrics (such as touch dynamics) is emerging as a new way to identify and characterize an individual in mobile applications. This project aims to develop a framework to utilize the personnel identification for mobile banking applications. Particularly the research will investigate the anomalies in behavioural dynamics and estimate the impact on secure mobile banking/trading within the background of Big Data and Cloud Service. It is also expected to study decision making by individuals and understand the anomalies by integrating social, cognitive, and emotional factors in understanding the interplay between mobile banking/trading behaviour and neural/emotional mechanisms. The project aims at developing a secure mobile banking platform with analytic functions and testing it in the application of big data analytics and cloud service with our industry partner.

The PhD research will be a part of an EPSRC funded project. The successful candidate will work with professionals from both academic and industry, particularly with our partner Atom Bank. Applicants with a multidisciplinary background on biometrics, machine learning, artificial intelligence, financial statistics, big data analytics, and/or cloud computing are welcome.

Eligibility and How to Apply:

Please note eligibility requirement:
• Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement.
• Appropriate IELTS score, if required (evidence required by 1 August 2017).

For further details of how to apply, entry requirements and the application form, see
https://www.northumbria.ac.uk/research/postgraduate-research-degrees/how-to-apply/

Please ensure you quote the advert reference above on your application form.