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08/28/2023
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?
Machine learning (ML) has become increasingly popular in network intrusi...
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06/24/2023
On the Uses of Large Language Models to Interpret Ambiguous Cyberattack Descriptions
The volume, variety, and velocity of change in vulnerabilities and explo...
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12/28/2022
HeATed Alert Triage (HeAT): Transferrable Learning to Extract Multistage Attack Campaigns
With growing sophistication and volume of cyber attacks combined with co...
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07/06/2021
SAGE: Intrusion Alert-driven Attack Graph Extractor
Attack graphs (AG) are used to assess pathways availed by cyber adversar...
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06/15/2021
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection
Recent advances in deep learning renewed the research interests in machi...
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03/25/2021
Near Real-time Learning and Extraction of Attack Models from Intrusion Alerts
Critical and sophisticated cyberattacks often take multitudes of reconna...
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02/18/2020
Cyberattack Action-Intent-Framework for Mapping Intrusion Observables
The techniques and tactics used by cyber adversaries are becoming more s...
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02/18/2020
Framework to Describe Intentions of a Cyber Attack Action
The techniques and tactics used by cyber adversaries are becoming more s...
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08/03/2019
On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks
Recreating cyber-attack alert data with a high level of fidelity is chal...
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09/05/2018
Probabilistic Modeling and Inference for Obfuscated Cyber Attack Sequences
A key element in defending computer networks is to recognize the types o...
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03/26/2018