research
∙
09/01/2023
Cross-temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach
We present a novel approach to identify ransomware campaigns derived fro...
share
research
∙
05/24/2023
Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks
In today's interconnected digital landscape, the proliferation of malwar...
research
∙
11/06/2022
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain
Reinforcement learning (RL) operating on attack graphs leveraging cyber ...
research
∙
11/01/2022
Zero Day Threat Detection Using Metric Learning Autoencoders
The proliferation of zero-day threats (ZDTs) to companies' networks has ...
research
∙
10/12/2022
Anomaly Detection via Federated Learning
Machine learning has helped advance the field of anomaly detection by in...
research
∙
08/29/2022
Lateral Movement Detection Using User Behavioral Analysis
Lateral Movement refers to methods by which threat actors gain initial a...
research
∙
05/04/2022
Zero Day Threat Detection Using Graph and Flow Based Security Telemetry
Zero Day Threats (ZDT) are novel methods used by malicious actors to att...
research
∙
01/28/2022
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs
Reinforcement learning (RL), in conjunction with attack graphs and cyber...
research
∙
08/20/2021