A New, Principled Approach to Anomaly Detection. - Erik M. Ferragut; Jason A. Laska; Robert A. Bridges (ICMLA (2), 2012)

PACE: Pattern Accurate Computationally Efficient Bootstrapping for Timely Discovery of Cyber-security Concepts. - Nikki McNeil; Robert A. Bridges; Michael D. Iannacone; Bogdan D. Czejdo; Nicolas Perez; John R. Goodall (ICMLA (2), 2013)

Automatic Labeling for Entity Extraction in Cyber Security. - Robert A. Bridges; Corinne L. Jones; Michael D. Iannacone; John R. Goodall (CoRR, 2013)

Integration of external data sources with cyber security data warehouse. - Bogdan D. Czejdo; Michael D. Iannacone; Robert A. Bridges; Erik M. Ferragut; John R. Goodall (CISR, 2014)

Multi-Level Anomaly Detection on Streaming Graph Data. - Robert A. Bridges; John P. Collins; Erik M. Ferragut; Jason A. Laska; Blair D. Sullivan (CoRR, 2014)

Multi-Level Anomaly Detection on Time-Varying Graph Data. - Robert A. Bridges; John P. Collins; Erik M. Ferragut; Jason A. Laska; Blair D. Sullivan (ASONAM, 2015)

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)

GraphPrints: Towards a Graph Analytic Method for Network Anomaly Detection. - Christopher R. Harshaw; Robert A. Bridges; Michael D. Iannacone; Joel W. Reed; John R. Goodall (CISRC, 2016)

Understanding GPU Power: A Survey of Profiling, Modeling, and Simulation Methods. - Robert A. Bridges; Neena Imam; Tiffany M. Mintz (ACM Comput. Surv., 2016)

A multi-level anomaly detection algorithm for time-varying graph data with interactive visualization. - Robert A. Bridges; John P. Collins; Erik M. Ferragut; Jason A. Laska; Blair D. Sullivan (Soc. Netw. Anal. Min., 2016)

Setting the threshold for high throughput detectors: A mathematical approach for ensembles of dynamic, heterogeneous, probabilistic anomaly detectors. - Robert A. Bridges; Jessie D. Jamieson; Joel W. Reed (IEEE BigData, 2017)

Modeling inter-signal arrival times for accurate detection of CAN bus signal injection attacks: a data-driven approach to in-vehicle intrusion detection. - Michael Roy Moore; Robert A. Bridges; Frank L. Combs; Michael S. Starr; Stacy J. Prowell (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)

Automated Behavioral Analysis of Malware: A Case Study of WannaCry Ransomware. - Qian (Guenevere) Chen; Robert A. Bridges (ICMLA, 2017)

Malware Detection on General-Purpose Computers Using Power Consumption Monitoring: A Proof of Concept and Case Study. - Jarilyn M. Hernández Jiménez; Jeffrey A. Nichols; Katerina Goseva-Popstojanova; Stacy J. Prowell; Robert A. Bridges (CoRR, 2017)

EGBTER: Capturing Degree Distribution, Clustering Coefficients, and Community Structure in a Single Random Graph Model. - Omar El-Daghar; Erik Lundberg; Robert A. Bridges (ASONAM, 2018)

Defining a Metric Space of Host Logs and Operational Use Cases. - Miki E. Verma; Robert A. Bridges (IEEE BigData, 2018)

Towards Malware Detection via CPU Power Consumption: Data Collection Design and Analytics. - Robert A. Bridges; Jarilyn Hernández Jiménez; Jeffrey Nichols 001; Katerina Goseva-Popstojanova; Stacy J. Prowell (TrustCom/BigDataSE, 2018)

Exploiting the Shape of CAN Data for In-Vehicle Intrusion Detection. - Zachariah Tyree; Robert A. Bridges; Frank L. Combs; Michael Roy Moore (VTC Fall, 2018)

Dimension Reduction Using Active Manifolds. - Robert A. Bridges; Chris Felder; Chelsey Hoff (CoRR, 2018)

Towards Malware Detection via CPU Power Consumption: Data Collection Design and Analytics (Extended Version). - Robert A. Bridges; Jarilyn M. Hernández Jiménez; Jeffrey Nichols 001; Katerina Goseva-Popstojanova; Stacy J. Prowell (CoRR, 2018)

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)

ACTT: Automotive CAN Tokenization and Translation. - Miki E. Verma; Robert A. Bridges; Samuel C. Hollifield (CoRR, 2018)

How do information security workers use host data? A summary of interviews with security analysts. - Robert A. Bridges; Michael D. Iannacone; John R. Goodall; Justin M. Beaver (CoRR, 2018)

Towards a CAN IDS Based on a Neural Network Data Field Predictor. - Krzysztof Pawelec; Robert A. Bridges; Frank L. Combs (AutoSec@CODASPY, 2019)

Active Manifolds: A non-linear analogue to Active Subspaces. - Robert A. Bridges; Anthony D. Gruber; Christopher Felder; Miki E. Verma; Chelsey Hoff (ICML, 2019)

Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection. - Qian (Guenevere) Chen; Sheikh Rabiul Islam; Henry Haswell; Robert A. Bridges (SciSec, 2019)

Data-Driven Extraction of Vehicle States From CAN Bus Traffic for Cyberprotection and Safety. - Michael Roy Moore; Robert A. Bridges; Frank L. Combs; Adam L. Anderson (IEEE Consumer Electron. Mag., 2019)

A Holistic Approach to Evaluating Cyber Security Defensive Capabilities. - Michael D. Iannacone; Robert A. Bridges (CoRR, 2019)

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)

Quantifiable & comparable evaluations of cyber defensive capabilities: A survey & novel, unified approach. - Michael D. Iannacone; Robert A. Bridges (Comput. Secur., 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)

ROAD: The Real ORNL Automotive Dynamometer Controller Area Network Intrusion Detection Dataset (with a comprehensive CAN IDS dataset survey & guide). - Miki E. Verma; Michael D. Iannacone; Robert A. Bridges; Samuel C. Hollifield; Bill Kay; Frank L. Combs (CoRR, 2020)

A Survey of Intrusion Detection Systems Leveraging Host Data. - Robert A. Bridges; Tarrah R. Glass-Vanderlan; Michael D. Iannacone; Maria S. Vincent; Qian (Guenevere) Chen (ACM Comput. Surv., 2020)

A Mathematical Framework for Evaluation of SOAR Tools with Limited Survey Data. - Savannah Norem; Ashley E. Rice; Samantha Erwin; Robert A. Bridges; Sean Oesch; Brian Weber (CyberICPS/SECPRE/ADIoT/SPOSE/CPS4CIP/CDT&SECOMANE@ESORICS, 2021)

D2U: Data Driven User Emulation for the Enhancement of Cyber Testing, Training, and Data Set Generation. - Sean Oesch; Robert A. Bridges; Miki E. Verma; Brian Weber; Oumar Diallo (CSET @ USENIX Security Symposium, 2021)

Time-Based CAN Intrusion Detection Benchmark. - Deborah H. Blevins; Pablo Moriano; Robert A. Bridges; Miki E. Verma; Michael D. Iannacone; Samuel C. Hollifield (CoRR, 2021)

What Clinical Trials Can Teach Us about the Development of More Resilient AI for Cybersecurity. - Edmon Begoli; Robert A. Bridges; Sean Oesch; Kathryn Knight (CoRR, 2021)

CAN-D: A Modular Four-Step Pipeline for Comprehensively Decoding Controller Area Network Data. - Miki E. Verma; Robert A. Bridges; Jordan J. Sosnowski; Samuel C. Hollifield; Michael D. Iannacone (IEEE Trans. Veh. Technol., 2021)

Detecting CAN Masquerade Attacks with Signal Clustering Similarity. - Pablo Moriano; Robert A. Bridges; Michael D. Iannacone (CoRR, 2022)

Assembling a Cyber Range to Evaluate Artificial Intelligence / Machine Learning (AI/ML) Security Tools. - Jeffrey A. Nichols; Kevin D. Spakes; Cory L. Watson; Robert A. Bridges (CoRR, 2022)

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)

ExpM+NF: Differentially Private Machine Learning that Surpasses DPSGD. - Robert A. Bridges; Vandy J. Tombs; Christopher B. Stanley (CoRR, 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)

Testing SOAR tools in use. - Robert A. Bridges; Ashley E. Rice; Sean Oesch; Jeffrey A. Nichols; Cory L. Watson; Kevin D. Spakes; Savannah Norem; Mike Huettel; Brian Jewell; Brian Weber; Connor Gannon; Olivia Bizovi; et al. (Comput. Secur., 2023)

Benchmarking Unsupervised Online IDS for Masquerade Attacks in CAN. - Pablo Moriano; Steven C. Hespeler; Mingyan Li; Robert A. Bridges (CoRR, 2024)

Destabilizing a Social Network Model via Intrinsic Feedback Vulnerabilities. - Lane H. Rogers; Emma J. Reid; Robert A. Bridges (SP (Workshops), 2025)