Projects:2020s1-1350 Behavioural Analytics and Traffic Generation of Mobile Applications

Introduction

The last two decades have marked a dramatic shift in our reliance on the internet. The most significant catalyst for our newfound reliance has been the universal adoption of mobile devices (i.e., smartphones and tablets), which now account for over half of all time spent online. From games to online banking, mobile applications have made their way into almost every market. This ubiquity however has also made apps a prime target for user analytics and malicious attack.

This project aims to characterise the behaviour of apps through analysis of their network traffic, and from this, infer specific characteristics of the device from which that traffic originated.

Project team

Project students

• Jithin Abraham

Supervisors

• Dr Hong Gunn Chew
• Kyle Millar
• Dr Adriel Cheng (DST)