Developing an Ontology for Cyber Security Knowledge Graphs. - Michael D. Iannacone; Shawn Bohn; Grant Nakamura; John Gerth; Kelly M. T. Huffer; Robert A. Bridges; Erik M. Ferragut; John R. Goodall (CISR, 2015)

Towards a Relation Extraction Framework for Cyber-Security Concepts. - Corinne L. Jones; Robert A. Bridges; Kelly M. T. Huffer; John R. Goodall (CISR, 2015)

Situational awareness of network system roles (SANSR). - Kelly M. T. Huffer; Joel W. Reed (CISRC, 2017)

Cybersecurity Automated Information Extraction Techniques: Drawbacks of Current Methods, and Enhanced Extractors. - Robert A. Bridges; Kelly M. T. Huffer; Corinne L. Jones; Michael D. Iannacone; John R. Goodall (ICMLA, 2017)

Forming IDEAS Interactive Data Exploration & Analysis System. - Robert A. Bridges; Maria A. Vincent; Kelly M. T. Huffer; John R. Goodall; Jessie D. Jamieson; Zachary Burch (CoRR, 2018)

Situ: Identifying and Explaining Suspicious Behavior in Networks. - John R. Goodall; Eric D. Ragan; Chad A. Steed; Joel W. Reed; G. David Richardson; Kelly M. T. Huffer; Robert A. Bridges; Jason A. Laska (IEEE Trans. Vis. Comput. Graph., 2019)

An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center. - Sean Oesch; Robert A. Bridges; Jared M. Smith; Justin M. Beaver; John R. Goodall; Kelly M. T. Huffer; Craig Miles; Daniel Scofield (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection. - Robert A. Bridges; Sean Oesch; Miki E. Verma; Michael D. Iannacone; Kelly M. T. Huffer; Brian Jewell; Jeffrey A. Nichols; Brian Weber; Justin M. Beaver; Jared M. Smith; Daniel Scofield; Craig Miles; et al. (CoRR, 2020)

AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors. - Robert A. Bridges; Brian Weber; Justin M. Beaver; Jared M. Smith; Miki E. Verma; Savannah Norem; Kevin D. Spakes; Cory L. Watson; Jeffrey A. Nichols; Brian Jewell; Michael D. Iannacone; Chelsey Dunivan Stahl; et al. (IEEE Big Data, 2023)

Beyond the Hype: An Evaluation of Commercially Available Machine Learning-based Malware Detectors. - Robert A. Bridges; Sean Oesch; Michael D. Iannacone; Kelly M. T. Huffer; Brian Jewell; Jeffrey A. Nichols; Brian Weber; Miki E. Verma; Daniel Scofield; Craig Miles; Thomas Plummer; Mark Daniell; et al. (DTRAP, 2023)