Real-time attack graph generation using intrusion alerts

Investigating the Impact of Merging Sink States on Alert-Driven Attack Graphs: The effects of merging sink states with other sink states and the core of the S-PDFA

Investigating the modeling assumptions of alert-driven attack graphs: A cognitive load-based quantification approach of interpretability in attack graphs

Investigating Episode Prioritisation in Alert-Driven Attack Graphs: Analysing PICA: A Novel Approach to Episode Prioritisation

Investigating the Impact of Sink State Merging on Alert-Driven Attack Graphs: The effects of allowing the sink states to merge with other sink states

Investigating the impact of PDFA implementation on alert-driven attack graphs: A comparison between the Suffix-based PDFA and PDFA models

MalPaCA: Malware behaviour analysis using unsupervised machine learning: Comparative analysis of various clustering algorithms on determining the best performance in terms of network behaviour discovery

Cold start is coming: How to approximate the optimal set of initial prototypes for clustering sequence data online

Analysis of sequential feature engineering and statistical features for malware behavior discovery

MalPaCA Feature Engineering: A comparative analysis between automated feature engineering and manual feature engineering on network traffic

Accelerating Cluster Assignment for SeqClu

SeqClu-PV: An extension of online K-medoids to efficiently cluster sequences real-time

The influence of sequence length on the clustering performance of MalPaCA