Stephen Moskal

According to our database, Stephen Moskal authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evolving Code with A Large Language Model.

Erik Hemberg, Stephen Moskal, Una-May O'Reilly

CoRR, 2024

2023

LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing.

Stephen Moskal, Sam Laney, Erik Hemberg, Una-May O'Reilly

CoRR, 2023

2022

Alert-Driven Attack Graph Generation Using S-PDFA.

Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang

IEEE Trans. Dependable Secur. Comput., 2022

HeATed Alert Triage (HeAT): Transferrable Learning to Extract Multistage Attack Campaigns.

Stephen Moskal, Shanchieh Jay Yang

CoRR, 2022

CyberEvo: evolutionary search of knowledge-based behaviors in a cyber attack campaign.

Stephen Moskal, Erik Hemberg, Una-May O'Reilly

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

SAGE: Intrusion Alert-driven Attack Graph Extractor.

Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang

CoRR, 2021

Translating Intrusion Alerts to Cyberattack Stages using Pseudo-Active Transfer Learning (PATRL).

Stephen Moskal, Shanchieh Jay Yang

Proceedings of the IEEE Conference on Communications and Network Security, 2021

Enabling Visual Analytics via Alert-driven Attack Graphs.

Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

On the Variety and Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks.

Christopher Sweet, Stephen Moskal, Shanchieh Jay Yang

ACM Trans. Manag. Inf. Syst., 2020

Cyberattack Action-Intent-Framework for Mapping Intrusion Observables.

Stephen Moskal, Shanchieh Jay Yang

CoRR, 2020

Session-level Adversary Intent-Driven Cyberattack Simulator.

Martin Drasar, Stephen Moskal, Shanchieh Jay Yang, Pavol Zat'ko

Proceedings of the 24th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2020

Dissecting Cyberadversarial Intrusion Stages via Interdisciplinary Observations.

Aunshul Rege, Shanchieh Jay Yang, Alyssa Mendlein, Katorah Williams, Shao-Hsusan Su, Stephen Moskal

Proceedings of the IWSPA@CODASPY '20: Proceedings ofthe Sixth International Workshop on Security and Privacy Analytics, 2020

2019

On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks.

Christopher Sweet, Stephen Moskal, Shanchieh Jay Yang

CoRR, 2019

Synthetic Intrusion Alert Generation through Generative Adversarial Networks.

Christopher Sweet, Stephen Moskal, Shanchieh Jay Yang

Proceedings of the 2019 IEEE Military Communications Conference, 2019

2018

Extracting and Evaluating Similar and Unique Cyber Attack Strategies from Intrusion Alerts.

Stephen Moskal, Shanchieh Jay Yang, Michael E. Kuhl

Proceedings of the 2018 IEEE International Conference on Intelligence and Security Informatics, 2018

2016

Assessing the likelihood of cyber network infiltration using rare-event simulation.

Alexander L. Krall, Michael E. Kuhl, Stephen F. Moskal, Shanchieh Jay Yang

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2014

Context Model Fusion for Multistage Network Attack Simulation.

Stephen Moskal, Ben Wheeler, Derek Kreider, Michael E. Kuhl, Shanchieh Jay Yang

Proceedings of the 2014 IEEE Military Communications Conference, 2014

2013

Who Shall We Follow in Twitter for Cyber Vulnerability?

Biru Cui, Stephen Moskal, Haitao Du, Shanchieh Jay Yang

Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Simulating attack behaviors in enterprise networks.

Stephen Moskal, Derek Kreider, Lydia Hays, Ben Wheeler, Shanchieh Jay Yang, Michael E. Kuhl

Proceedings of the IEEE Conference on Communications and Network Security, 2013