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09/06/2023
Scalable Learning of Intrusion Responses through Recursive Decomposition
We study automated intrusion response for an IT infrastructure and formu...
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06/25/2023
A Framework for dynamically meeting performance objectives on a service mesh
We present a framework for achieving end-to-end management objectives fo...
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01/11/2023
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
We study automated intrusion response and formulate the interaction betw...
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10/08/2022
Dynamically meeting performance objectives for multiple services on a service mesh
We present a framework that lets a service provider achieve end-to-end m...
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05/29/2022
Learning Security Strategies through Game Play and Optimal Stopping
We study automated intrusion prevention using reinforcement learning. Fo...
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04/03/2022
A System for Interactive Examination of Learned Security Policies
We present a system for interactive examination of learned security poli...
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12/15/2021
Online Feature Selection for Efficient Learning in Networked Systems
Current AI/ML methods for data-driven engineering use models that are mo...
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10/30/2021
Intrusion Prevention through Optimal Stopping
We study automated intrusion prevention using reinforcement learning. Fo...
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06/14/2021
Learning Intrusion Prevention Policies through Optimal Stopping
We study automated intrusion prevention using reinforcement learning. In...
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10/28/2020
Online feature selection for rapid, low-overhead learning in networked systems
Data-driven functions for operation and management often require measure...
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09/17/2020
Finding Effective Security Strategies through Reinforcement Learning and Self-Play
We present a method to automatically find security strategies for the us...
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09/04/2015