13 citations · 13 across the 5 of their papers we have counts for
5 papers
Social Engineering Attacks: A Systemisation of Knowledge on People Against Humans
Scott Thomson, Michael Bewong, Arash Mahboubi +1
Our systematisation of knowledge on Social Engineering Attacks (SEAs), identifies the human, organisational, and adversarial dimensions of cyber threats. It addresses the growing r…
Setup Once, Secure Always: A Single-Setup Secure Federated Learning Aggregation Protocol with Forward and Backward Secrecy for Dynamic Users
Nazatul Haque Sultan, Yan Bo, Yansong Gao +10
Federated Learning (FL) enables multiple users to collaboratively train a machine learning model without sharing raw data, making it suitable for privacy-sensitive applications. Ho…
MAPX: An explainable model-agnostic framework for the detection of false information on social media networks
Sarah Condran, Michael Bewong, Selasi Kwashie +3
The automated detection of false information has become a fundamental task in combating the spread of "fake news" on online social media networks (OSMN) as it reduces the need for…
Malicious Package Detection using Metadata Information
S. Halder, M. Bewong, A. Mahboubi +7
Protecting software supply chains from malicious packages is paramount in the evolving landscape of software development. Attacks on the software supply chain involve attackers inj…
A Semi-Automated Hybrid Schema Matching Framework for Vegetation Data Integration
Md Asif-Ur-Rahman, Bayzid Ashik Hossain, Michael Bewong +4
Integrating disparate and distributed vegetation data is critical for consistent and informed national policy development and management. Australia's National Vegetation Informatio…