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2020 – today
- 2024
[i34]Pablo Moriano, Steven C. Hespeler, Mingyan Li, Robert A. Bridges:
Benchmarking Unsupervised Online IDS for Masquerade Attacks in CAN. CoRR abs/2406.13778 (2024)- 2023
- [j8]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, Samuel C. Hollifield, Samantha Erwin:
Testing SOAR tools in use. Comput. Secur. 129: 103201 (2023) - [c22]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, Kelly M. T. Huffer, T. Sean Oesch:
AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors. IEEE Big Data 2023: 1620-1629 - [i33]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, Kelly M. T. Huffer, T. Sean Oesch:
AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors. CoRR abs/2308.14835 (2023) - [i32]Robert A. Bridges, Vandy J. Tombs, Christopher B. Stanley:
ExpM+NF: Differentially Private Machine Learning that Surpasses DPSGD. CoRR abs/2311.09200 (2023) - 2022
- [i31]Pablo Moriano, Robert A. Bridges, Michael D. Iannacone:
Detecting CAN Masquerade Attacks with Signal Clustering Similarity. CoRR abs/2201.02665 (2022) - [i30]Jeffrey A. Nichols, Kevin D. Spakes, Cory L. Watson, Robert A. Bridges:
Assembling a Cyber Range to Evaluate Artificial Intelligence / Machine Learning (AI/ML) Security Tools. CoRR abs/2201.08473 (2022) - [i29]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, Samuel C. Hollifield, Samantha Erwin:
Testing SOAR Tools in Use. CoRR abs/2208.06075 (2022) - 2021
- [j7]Miki E. Verma, Robert A. Bridges, Jordan J. Sosnowski, Samuel C. Hollifield, Michael D. Iannacone:
CAN-D: A Modular Four-Step Pipeline for Comprehensively Decoding Controller Area Network Data. IEEE Trans. Veh. Technol. 70(10): 9685-9700 (2021) - [c21]Savannah Norem, Ashley E. Rice, Samantha Erwin, Robert A. Bridges, Sean Oesch, Brian Weber:
A Mathematical Framework for Evaluation of SOAR Tools with Limited Survey Data. CyberICPS/SECPRE/ADIoT/SPOSE/CPS4CIP/CDT&SECOMANE@ESORICS 2021: 557-575 - [c20]Sean Oesch, Robert A. Bridges, Miki E. Verma, Brian Weber, Oumar Diallo:
D2U: Data Driven User Emulation for the Enhancement of Cyber Testing, Training, and Data Set Generation. CSET @ USENIX Security Symposium 2021: 17-26 - [i28]Deborah H. Blevins, Pablo Moriano, Robert A. Bridges, Miki E. Verma, Michael D. Iannacone, Samuel C. Hollifield:
Time-Based CAN Intrusion Detection Benchmark. CoRR abs/2101.05781 (2021) - [i27]Edmon Begoli, Robert A. Bridges, Sean Oesch, Kathryn Knight:
What Clinical Trials Can Teach Us about the Development of More Resilient AI for Cybersecurity. CoRR abs/2105.06545 (2021) - [i26]Savannah Norem, Ashley E. Rice, Samantha Erwin, Robert A. Bridges, Sean Oesch, Brian Weber:
A Mathematical Framework for Evaluation of SOAR Tools with Limited Survey Data. CoRR abs/2112.00100 (2021) - 2020
- [j6]Michael D. Iannacone, Robert A. Bridges:
Quantifiable & comparable evaluations of cyber defensive capabilities: A survey & novel, unified approach. Comput. Secur. 96: 101907 (2020) - [j5]Robert A. Bridges, Tarrah R. Glass-Vanderlan, Michael D. Iannacone, Maria S. Vincent, Qian (Guenevere) Chen:
A Survey of Intrusion Detection Systems Leveraging Host Data. ACM Comput. Surv. 52(6): 128:1-128:35 (2020) - [c19]Sean Oesch, Robert A. Bridges, Jared M. Smith, Justin M. Beaver, John R. Goodall, Kelly M. T. Huffer, Craig Miles, Daniel Scofield:
An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 634-641 - [i25]Miki E. Verma, Robert A. Bridges, Jordan J. Sosnowski, Samuel C. Hollifield, Michael D. Iannacone:
CAN-D: A Modular Four-Step Pipeline for Comprehensively Decoding Controller Area Network Data. CoRR abs/2006.05993 (2020) - [i24]Sean Oesch, Robert A. Bridges, Jared M. Smith, Justin M. Beaver, John R. Goodall, Kelly M. T. Huffer, Craig Miles, Daniel Scofield:
An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center. CoRR abs/2012.09013 (2020) - [i23]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, Thomas Plummer, Mark Daniell, Anne M. Tall:
Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection. CoRR abs/2012.09214 (2020) - [i22]Miki E. Verma, Michael D. Iannacone, Robert A. Bridges, Samuel C. Hollifield, Bill Kay, Frank L. Combs:
ROAD: The Real ORNL Automotive Dynamometer Controller Area Network Intrusion Detection Dataset (with a comprehensive CAN IDS dataset survey & guide). CoRR abs/2012.14600 (2020)
2010 – 2019
- 2019
- [j4]Michael Roy Moore, Robert A. Bridges, Frank L. Combs, Adam L. Anderson:
Data-Driven Extraction of Vehicle States From CAN Bus Traffic for Cyberprotection and Safety. IEEE Consumer Electron. Mag. 8(6): 104-110 (2019) - [j3]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:
Situ: Identifying and Explaining Suspicious Behavior in Networks. IEEE Trans. Vis. Comput. Graph. 25(1): 204-214 (2019) - [c18]Krzysztof Pawelec, Robert A. Bridges, Frank L. Combs:
Towards a CAN IDS Based on a Neural Network Data Field Predictor. AutoSec@CODASPY 2019: 31-34 - [c17]Robert A. Bridges, Anthony D. Gruber, Christopher Felder, Miki E. Verma, Chelsey Hoff:
Active Manifolds: A non-linear analogue to Active Subspaces. ICML 2019: 764-772 - [c16]Qian (Guenevere) Chen, Sheikh Rabiul Islam, Henry Haswell, Robert A. Bridges:
Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection. SciSec 2019: 199-214 - [i21]Michael D. Iannacone, Robert A. Bridges:
A Holistic Approach to Evaluating Cyber Security Defensive Capabilities. CoRR abs/1902.00053 (2019) - [i20]Robert A. Bridges, Anthony D. Gruber, Christopher Felder, Miki E. Verma, Chelsey Hoff:
Active Manifolds: A non-linear analogue to Active Subspaces. CoRR abs/1904.13386 (2019) - [i19]Qian (Guenevere) Chen, Sheikh Rabiul Islam, Henry Haswell, Robert A. Bridges:
Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection. CoRR abs/1910.06469 (2019) - 2018
- [c15]Omar El-Daghar, Erik Lundberg, Robert A. Bridges:
EGBTER: Capturing Degree Distribution, Clustering Coefficients, and Community Structure in a Single Random Graph Model. ASONAM 2018: 282-289 - [c14]Miki E. Verma, Robert A. Bridges:
Defining a Metric Space of Host Logs and Operational Use Cases. IEEE BigData 2018: 5068-5077 - [c13]Robert A. Bridges, Jarilyn Hernández Jiménez, Jeffrey Nichols, Katerina Goseva-Popstojanova, Stacy J. Prowell:
Towards Malware Detection via CPU Power Consumption: Data Collection Design and Analytics. TrustCom/BigDataSE 2018: 1680-1684 - [c12]Zachariah Tyree, Robert A. Bridges, Frank L. Combs, Michael Roy Moore:
Exploiting the Shape of CAN Data for In-Vehicle Intrusion Detection. VTC Fall 2018: 1-5 - [i18]Robert A. Bridges, Chris Felder, Chelsey Hoff:
Dimension Reduction Using Active Manifolds. CoRR abs/1802.04178 (2018) - [i17]Tarrah R. Glass-Vanderlan, Michael D. Iannacone, Maria S. Vincent, Qian (Guenevere) Chen, Robert A. Bridges:
A Survey of Intrusion Detection Systems Leveraging Host Data. CoRR abs/1805.06070 (2018) - [i16]Robert A. Bridges, Jarilyn M. Hernández Jiménez, Jeffrey Nichols, Katerina Goseva-Popstojanova, Stacy J. Prowell:
Towards Malware Detection via CPU Power Consumption: Data Collection Design and Analytics (Extended Version). CoRR abs/1805.06541 (2018) - [i15]Robert A. Bridges, Maria A. Vincent, Kelly M. T. Huffer, John R. Goodall, Jessie D. Jamieson, Zachary Burch:
Forming IDEAS Interactive Data Exploration & Analysis System. CoRR abs/1805.09676 (2018) - [i14]Omar El-Daghar, Erik Lundberg, Robert A. Bridges:
EGBTER: Capturing degree distribution, clustering coefficients, and community structure in a single random graph model. CoRR abs/1808.01267 (2018) - [i13]Zachariah Tyree, Robert A. Bridges, Frank L. Combs, Michael Roy Moore:
Exploiting the Shape of CAN Data for In-Vehicle Intrusion Detection. CoRR abs/1808.10840 (2018) - [i12]Miki E. Verma, Robert A. Bridges:
Defining a Metric Space of Host Logs and Operational Use Cases. CoRR abs/1811.00591 (2018) - [i11]Miki E. Verma, Robert A. Bridges, Samuel C. Hollifield:
ACTT: Automotive CAN Tokenization and Translation. CoRR abs/1811.07897 (2018) - [i10]Robert A. Bridges, Michael D. Iannacone, John R. Goodall, Justin M. Beaver:
How do information security workers use host data? A summary of interviews with security analysts. CoRR abs/1812.02867 (2018) - [i9]Krzysztof Pawelec, Robert A. Bridges, Frank L. Combs:
Towards a CAN IDS based on a neural-network data field predictor. CoRR abs/1812.11596 (2018) - 2017
- [c11]Robert A. Bridges, Jessie D. Jamieson, Joel W. Reed:
Setting the threshold for high throughput detectors: A mathematical approach for ensembles of dynamic, heterogeneous, probabilistic anomaly detectors. IEEE BigData 2017: 1071-1078 - [c10]Michael Roy Moore, Robert A. Bridges, Frank L. Combs, Michael S. Starr, Stacy J. Prowell:
Modeling inter-signal arrival times for accurate detection of CAN bus signal injection attacks: a data-driven approach to in-vehicle intrusion detection. CISRC 2017: 11:1-11:4 - [c9]Robert A. Bridges, Kelly M. T. Huffer, Corinne L. Jones, Michael D. Iannacone, John R. Goodall:
Cybersecurity Automated Information Extraction Techniques: Drawbacks of Current Methods, and Enhanced Extractors. ICMLA 2017: 437-442 - [c8]Qian (Guenevere) Chen, Robert A. Bridges:
Automated Behavioral Analysis of Malware: A Case Study of WannaCry Ransomware. ICMLA 2017: 454-460 - [e3]Joseph P. Trien, Stacy J. Prowell, John R. Goodall, Justin M. Beaver, Robert A. Bridges:
Proceedings of the 12th Annual Conference on Cyber and Information Security Research, CISRC 2017, Oak Ridge, TN, USA, April 4 - 6, 2017. ACM 2017, ISBN 978-1-4503-4855-3 [contents] - [i8]Jarilyn M. Hernández Jiménez, Jeffrey A. Nichols, Katerina Goseva-Popstojanova, Stacy J. Prowell, Robert A. Bridges:
Malware Detection on General-Purpose Computers Using Power Consumption Monitoring: A Proof of Concept and Case Study. CoRR abs/1705.01977 (2017) - [i7]Qian (Guenevere) Chen, Robert A. Bridges:
Automated Behavioral Analysis of Malware A Case Study of WannaCry Ransomware. CoRR abs/1709.08753 (2017) - [i6]Robert A. Bridges, Jessie D. Jamieson, Joel W. Reed:
Setting the threshold for high throughput detectors: A mathematical approach for ensembles of dynamic, heterogeneous, probabilistic anomaly detectors. CoRR abs/1710.09422 (2017) - 2016
- [j2]Robert A. Bridges, Neena Imam, Tiffany M. Mintz:
Understanding GPU Power: A Survey of Profiling, Modeling, and Simulation Methods. ACM Comput. Surv. 49(3): 41:1-41:27 (2016) - [j1]Robert A. Bridges, John P. Collins, Erik M. Ferragut, Jason A. Laska, Blair D. Sullivan:
A multi-level anomaly detection algorithm for time-varying graph data with interactive visualization. Soc. Netw. Anal. Min. 6(1): 99:1-99:14 (2016) - [c7]Christopher R. Harshaw, Robert A. Bridges, Michael D. Iannacone, Joel W. Reed, John R. Goodall:
GraphPrints: Towards a Graph Analytic Method for Network Anomaly Detection. CISRC 2016: 15:1-15:4 - [e2]Joseph P. Trien, Stacy J. Prowell, John R. Goodall, Robert A. Bridges:
Proceedings of the 11th Annual Cyber and Information Security Research Conference, CISRC 2016, Oak Ridge, TN, USA, April 5-7, 2016. ACM 2016, ISBN 978-1-4503-3752-6 [contents] - [i5]Christopher R. Harshaw, Robert A. Bridges, Michael D. Iannacone, Joel W. Reed, John R. Goodall:
GraphPrints: Towards a Graph Analytic Method for Network Anomaly Detection. CoRR abs/1602.01130 (2016) - 2015
- [c6]Robert A. Bridges, John P. Collins, Erik M. Ferragut, Jason A. Laska, Blair D. Sullivan:
Multi-Level Anomaly Detection on Time-Varying Graph Data. ASONAM 2015: 579-583 - [c5]Corinne L. Jones, Robert A. Bridges, Kelly M. T. Huffer, John R. Goodall:
Towards a Relation Extraction Framework for Cyber-Security Concepts. CISR 2015: 11:1-11:4 - [c4]Michael D. Iannacone, Shawn Bohn, Grant Nakamura, John Gerth, Kelly M. T. Huffer, Robert A. Bridges, Erik M. Ferragut, John R. Goodall:
Developing an Ontology for Cyber Security Knowledge Graphs. CISR 2015: 12:1-12:4 - [e1]Joseph P. Trien, Stacy J. Prowell, Robert A. Bridges, John R. Goodall:
Proceedings of the 10th Annual Cyber and Information Security Research Conference, CISR '15, Oak Ridge, TN, USA, April 7-9, 2015. ACM 2015, ISBN 978-1-4503-3345-0 [contents] - [i4]Corinne L. Jones, Robert A. Bridges, Kelly M. T. Huffer, John R. Goodall:
Towards a relation extraction framework for cyber-security concepts. CoRR abs/1504.04317 (2015) - 2014
- [c3]Bogdan D. Czejdo, Michael D. Iannacone, Robert A. Bridges, Erik M. Ferragut, John R. Goodall:
Integration of external data sources with cyber security data warehouse. CISR 2014: 49-52 - [i3]Robert A. Bridges, John P. Collins, Erik M. Ferragut, Jason A. Laska, Blair D. Sullivan:
Multi-Level Anomaly Detection on Streaming Graph Data. CoRR abs/1410.4355 (2014) - 2013
- [c2]Nikki McNeil, Robert A. Bridges, Michael D. Iannacone, Bogdan D. Czejdo, Nicolas Perez, John R. Goodall:
PACE: Pattern Accurate Computationally Efficient Bootstrapping for Timely Discovery of Cyber-security Concepts. ICMLA (2) 2013: 60-65 - [i2]Nikki McNeil, Robert A. Bridges, Michael D. Iannacone, Bogdan D. Czejdo, Nicolas Perez, John R. Goodall:
PACE: Pattern Accurate Computationally Efficient Bootstrapping for Timely Discovery of Cyber-Security Concepts. CoRR abs/1308.4648 (2013) - [i1]Robert A. Bridges, Corinne L. Jones, Michael D. Iannacone, John R. Goodall:
Automatic Labeling for Entity Extraction in Cyber Security. CoRR abs/1308.4941 (2013) - 2012
- [c1]Erik M. Ferragut, Jason A. Laska, Robert A. Bridges:
A New, Principled Approach to Anomaly Detection. ICMLA (2) 2012: 210-215
Coauthor Index
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