Discovery Projects - Grant ID: DP200100886

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP200100886

Funding Status
Active

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Funded Activity Summary

Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective. In this project, we propose to develop a series of new techniques, such as 1) Android contextual analysis, 2) wrapper-based hill climbing algorithm, and 3) ensemble learning, to solve this problem. The outcomes will help Australia gain cutting edge technologies in adversarial machine learning and mobile security.

Funded Activity Details

Start Date: 01-01-2020

End Date: 31-12-2024

Funding Scheme: Discovery Projects

Funding Amount: $420,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Information Systems | Information Engineering and Theory | Information Systems Management |

ANZSRC Socio-Economic Objective (SEO)

Mobile Data Networks and Services | Application Tools and System Utilities

Other Keywords

Application Tools and System Utilities | Information Engineering and Theory | Information Systems | Information Systems Management | Mobile Data Networks and Services

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