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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...
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06/06/2023
A Novel Approach To User Agent String Parsing For Vulnerability Analysis Using Mutli-Headed Attention
The increasing reliance on the internet has led to the proliferation of ...
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05/24/2023
Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks
In today's interconnected digital landscape, the proliferation of malwar...
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11/06/2022
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain
Reinforcement learning (RL) operating on attack graphs leveraging cyber ...
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11/01/2022
Zero Day Threat Detection Using Metric Learning Autoencoders
The proliferation of zero-day threats (ZDTs) to companies' networks has ...
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10/12/2022
Anomaly Detection via Federated Learning
Machine learning has helped advance the field of anomaly detection by in...
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08/29/2022
Lateral Movement Detection Using User Behavioral Analysis
Lateral Movement refers to methods by which threat actors gain initial a...
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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...
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01/28/2022
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs
Reinforcement learning (RL), in conjunction with attack graphs and cyber...
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12/01/2021
AI Assurance using Causal Inference: Application to Public Policy
Developing and implementing AI-based solutions help state and federal go...
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08/20/2021
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs
Cyber attacks pose existential threats to nations and enterprises. Curre...
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08/16/2021
Using Cyber Terrain in Reinforcement Learning for Penetration Testing
Reinforcement learning (RL) has been applied to attack graphs for penetr...
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03/01/2018