A Low-Latency TDMA Scheduler for Multi-hop Cluster Based MANETs with Directional Antennas. - Michael D. Iannacone; Yamin Al-Mousa; Nicholas Martin; Nirmala Shenoy; John Fischer (ADHOCNETS, 2009)

situ: Situational understanding and discovery for cyber attacks. - Lane Harrison; Jason A. Laska; Riley Spahn; Michael D. Iannacone; Evan Downing; Erik M. Ferragut; John R. Goodall (IEEE VAST, 2012)

NV: Nessus vulnerability visualization for the web. - Lane Harrison; Riley Spahn; Michael D. Iannacone; Evan Downing; John R. Goodall (VizSEC, 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)

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)

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)

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)

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)

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

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)

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)

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)

Stealthy Cyber Anomaly Detection On Large Noisy Multi-material 3D Printer Datasets Using Probabilistic Models. - Srikanth B. Yoginath; Michael D. Iannacone; Varisara Tansakul; Ali Passian; Rob Jordan; Joel Asiamah; M. Nance Ericson; Gavin B. Long; Joel A. Dawson (AMSec@CCS, 2022)

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

Developing and Deploying Security Applications for In-Vehicle Networks. - Samuel C. Hollifield; Pablo Moriano; William L. Lambert; Joel Asiamah; Isaac Sikkema; Michael D. Iannacone (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)