42 citations · 48 across the 7 of their papers we have counts for
4 papers
CICAPT-IIOT: A provenance-based APT attack dataset for IIoT environment
Erfan Ghiasvand, Suprio Ray, Shahrear Iqbal +2
The Industrial Internet of Things (IIoT) is a transformative paradigm that integrates smart sensors, advanced analytics, and robust connectivity within industrial processes, enabli…
Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems
Mohammed Elnawawy, Mohammadreza Hallajiyan, Gargi Mitra +2
The adoption of machine-learning-enabled systems in the healthcare domain is on the rise. While the use of ML in healthcare has several benefits, it also expands the threat surface…
LogShield: A Transformer-based APT Detection System Leveraging Self-Attention
Sihat Afnan, Mushtari Sadia, Shahrear Iqbal +1
Cyber attacks are often identified using system and network logs. There have been significant prior works that utilize provenance graphs and ML techniques to detect attacks, specif…
ANUBIS: A Provenance Graph-Based Framework for Advanced Persistent Threat Detection
Md. Monowar Anjum, Shahrear Iqbal, Benoit Hamelin
We present ANUBIS, a highly effective machine learning-based APT detection system. Our design philosophy for ANUBIS involves two principal components. Firstly, we intend ANUBIS to…