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Jeremy Straub
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2020 – today
- 2024
- [i15]Jordan Milbrath, Jonathan Rivard, Jeremy Straub:
Implementation and Evaluation of a Gradient Descent-Trained Defensible Blackboard Architecture System. CoRR abs/2404.11714 (2024) - [i14]Kevin Setterstrom, Jeremy Straub:
Analysis of the Efficacy of the Use of Inertial Measurement and Global Positioning System Data to Reverse Engineer Automotive CAN Bus Steering Signals. CoRR abs/2405.00694 (2024) - 2023
- [i13]Jeremy Straub:
Development and Analysis of P2SCP: A Paradigm for Penetration Testing of Systems that Cannot be Subjected to the Risk of Penetration Testing. CoRR abs/2306.04279 (2023) - [i12]Matthew Tassava, Cameron Kolodjski, Jeremy Straub:
Development of a System Vulnerability Analysis Tool for Assessment of Complex Mission Critical Systems. CoRR abs/2306.04280 (2023) - [i11]Jack Hance, Jeremy Straub:
Development of a Multi-purpose Fuzzer to Perform Assessment as Input to a Cybersecurity Risk Assessment and Analysis System. CoRR abs/2306.04284 (2023) - [i10]Jonathan Rivard, Jeremy Straub:
Extension of the Blackboard Architecture with Common Properties and Generic Rules. CoRR abs/2306.04287 (2023) - [i9]Jordan Milbrath, Jeremy Straub:
Introduction and Assessment of the Addition of Links and Containers to the Blackboard Architecture. CoRR abs/2306.04289 (2023) - [i8]Ben Clark, Matthew Tassava, Cameron Kolodjski, Jeremy Straub:
Analysis of the Benefits and Efficacy of the Addition of Variants and Reality Paths to the Blackboard Architecture. CoRR abs/2306.11210 (2023) - [i7]Kevin Setterstrom, Jeremy Straub:
Development of an Autonomous Reverse Engineering Capability for Controller Area Network Messages to Support Autonomous Control Retrofits. CoRR abs/2307.11781 (2023) - 2022
- [j35]Jack Hance, Jordan Milbrath, Noah Ross, Jeremy Straub:
Distributed Attack Deployment Capability for Modern Automated Penetration Testing. Comput. 11(3): 33 (2022) - [j34]Ryan Suttle, Scott Hogan, Rachel Aumaugher, Matthew Spradling, Zak Merrigan, Jeremy Straub:
Deceptive Content Labeling Survey Data from Two U.S. Midwestern Universities. Data 7(3): 26 (2022) - [j33]Jeremy Straub:
Assessment of the comparative efficiency of software-based Boolean, electronic, software-based fractional value and simplified quantum principal expert systems. Expert Syst. J. Knowl. Eng. 39(4) (2022) - [j32]Darius Kianersi, Suraj Uppalapati, Anirudh Bansal, Jeremy Straub:
Evaluation of a Reputation Management Technique for Autonomous Vehicles. Future Internet 14(2): 31 (2022) - [j31]Matthew Spradling, Jeremy Straub:
Evaluation of the Factors That Impact the Perception of Online Content Trustworthiness by Income, Political Affiliation and Online Usage Time. Future Internet 14(11): 320 (2022) - [j30]Jeremy Straub, Matthew Spradling, Bob Fedor:
Assessment of Consumer Perception of Online Content Label Efficacy by Income Level, Party Affiliation and Online Use Levels. Inf. 13(5): 252 (2022) - [j29]Matthew Spradling, Jeremy Straub:
Analysis of the Impact of Age, Education and Gender on Individuals' Perception of Label Efficacy for Online Content. Inf. 13(11): 516 (2022) - [j28]Jeremy Straub:
Impact of techniques to reduce error in high error rule-based expert system gradient descent networks. J. Intell. Inf. Syst. 58(3): 481-512 (2022) - [j27]Jeremy Straub:
Automating the design and development of gradient descent trained expert system networks. Knowl. Based Syst. 254: 109465 (2022) - [j26]Jeremy Straub:
A modern Blackboard Architecture implementation with external command execution capability. Softw. Impacts 11: 100183 (2022) - [j25]Fateen Ahmed, Jeremy Straub:
Initial Work on the Development of a Hardware-Based Gradient Descent Trained Expert System. Syst. 10(5): 160 (2022) - [c38]Jeremy Straub:
Increasing Trust in Artificial Intelligence with a Defensible AI Technique. AIPR 2022: 1-7 - [c37]Dominic Rosch-Grace, Jeremy Straub:
Software-Based Mass Customization of Artificial Neural Networks and its Benefits. CSCI 2022: 121-126 - [c36]Jeremy Straub:
Development of an Autonomous Retesting Penetration Testing Paradigm. CSCI 2022: 883-889 - [c35]Dominic Rosch-Grace, Jeremy Straub:
Considering the Implications of Artificial Intelligence, Quantum Computing, and Cybersecurity. CSCI 2022: 1080-1082 - [i6]Jeremy Straub:
Automating the Design and Development of Gradient Descent Trained Expert System Networks. CoRR abs/2207.02845 (2022) - 2021
- [j24]Andrew Jones, Jeremy Straub:
Simulation and Analysis of Self-Replicating Robot Decision-Making Systems. Comput. 10(1): 9 (2021) - [j23]Jeremy Straub:
Assessment of Gradient Descent Trained Rule-Fact Network Expert System Multi-Path Training Technique Performance. Comput. 10(8): 103 (2021) - [j22]Matthew Spradling, Jeremy Straub, Jay Strong:
Protection from 'Fake News': The Need for Descriptive Factual Labeling for Online Content. Future Internet 13(6): 142 (2021) - [j21]Ryan Suttle, Scott Hogan, Rachel Aumaugher, Matthew Spradling, Zak Merrigan, Jeremy Straub:
University Community Members' Perceptions of Labels for Online Media. Future Internet 13(11): 281 (2021) - [j20]Jeremy Straub:
Analysis of the changing demographics of computing doctoral degree recipients at U.S. universities and the implications of change. Inroads 12(1): 26-36 (2021) - [j19]Jeremy Straub:
Expert system gradient descent style training: Development of a defensible artificial intelligence technique. Knowl. Based Syst. 228: 107275 (2021) - [j18]Xinyu "Sherwin" Liang, Jeremy Straub:
Deceptive Online Content Detection Using Only Message Characteristics and a Machine Learning Trained Expert System. Sensors 21(21): 7083 (2021) - [j17]Jeremy Straub:
Gradient descent training expert system. Softw. Impacts 10: 100121 (2021) - [c34]Jeremy Straub:
Consideration of the Use of Smart Grid Cyberattacks as an Influence Attack and Appropriate Deterrence. CSCI 2021: 710-715 - [c33]Jeremy Straub:
Evaluating the Use of Technology Readiness Levels (TRLs) for Cybersecurity Systems. SysCon 2021: 1-6 - [i5]Jeremy Straub:
Expert System Gradient Descent Style Training: Development of a Defensible Artificial Intelligence Technique. CoRR abs/2103.04314 (2021) - [i4]Jeremy Straub:
Defining, Evaluating, Preparing for and Responding to a Cyber Pearl Harbor. CoRR abs/2103.07662 (2021) - [i3]Dominic Rosch-Grace, Jeremy Straub:
Consideration of the Need for Quantum Grid Computing. CoRR abs/2106.11341 (2021) - [i2]Logan Brown, Reid Pezewski, Jeremy Straub:
Determining Sentencing Recommendations and Patentability Using a Machine Learning Trained Expert System. CoRR abs/2108.04088 (2021) - [i1]Benjamin Fitzpatrick, Xinyu "Sherwin" Liang, Jeremy Straub:
Fake News and Phishing Detection Using a Machine Learning Trained Expert System. CoRR abs/2108.08264 (2021) - 2020
- [c32]Maria Clare Lusardi, Isaac Dubovoy, Jeremy Straub:
Determining the Impact of Cybersecurity Failures During and Attributable to Pandemics and Other Emergency Situations. AIPR 2020: 1-6 - [c31]Matthew Spradling, Jeremy Straub, Jay Strong:
Introducing & Evaluating 'Nutrition Facts' for Online Content. Cyber Security 2020: 1-8 - [c30]Jeremy Straub:
Modeling Attack, Defense and Threat Trees and the Cyber Kill Chain, ATT&CK and STRIDE Frameworks as Blackboard Architecture Networks. SmartCloud 2020: 148-153 - [c29]Jack Hance, Jeremy Straub:
Use of Bash History Novelty Detection for Identification of Similar Source Attack Generation. TrustCom 2020: 759-766
2010 – 2019
- 2019
- [j16]William Clemons, Jeremy Straub:
Human Male Body Images from Multiple Perspectives with Multiple Lighting Settings. Data 4(1): 3 (2019) - [j15]Collin Gros, Jeremy Straub:
A Dataset for Comparing Mirrored and Non-Mirrored Male Bust Images for Facial Recognition. Data 4(1): 26 (2019) - [j14]Collin Gros, Jeremy Straub:
Video Recordings of Male Face and Neck Movements for Facial Recognition and Other Purposes. Data 4(3): 130 (2019) - [j13]Jeremy Straub:
Assessment of correlations between computer science department performance and college type. Inroads 10(4): 60-65 (2019) - [c28]Rahul Gomes, Anne Denton, Jeremy Straub:
Comparative study of fitness function in genetic algorithm for optimal site allocation using Lidar. EIT 2019: 255-260 - [c27]Rodi Murad, Andrew Jones, Jeremy Straub:
Use of Computer Vision for White Line Detection for Robotic Applications. EIT 2019: 509-514 - [c26]Brandon Stoick, Zhenyang Luo, Dibyanshu Tibrewal, Kevin Setterstrom, Andrew Jones, Jeremy Straub:
Developing a Framework for Autonomous Control Software for a Human Colony on Mars. EIT 2019: 515-520 - [c25]Nathaniel Redden, Ben Bernard, Jeremy Straub:
Creating Simple Adversarial Examples for Speech Recognition Deep Neural Networks. MASS Workshops 2019: 58-62 - [c24]Ryan Mower, Ben Bernard, Jeremy Straub:
Graphics Card Based Fuzzing. MASS Workshops 2019: 111-115 - [c23]Terry Traylor, Jeremy Straub, Gurmeet, Nicholas Snell:
Classifying Fake News Articles Using Natural Language Processing to Identify In-Article Attribution as a Supervised Learning Estimator. ICSC 2019: 445-449 - [c22]Pann Ajjimaporn, Michael Gibbons, Brandon Stoick, Jeremy Straub:
Automated Student Assessment for Cybersecurity Courses. SoSE 2019: 93-95 - [c21]Isaac Burton, Jeremy Straub:
Autonomous Distributed Electronic Warfare System of Systems. SoSE 2019: 96-101 - [c20]Jeremy Straub:
Cyber Mutual Assured Destruction as a System of Systems and the Implications for System Design. SoSE 2019: 137-139 - 2018
- [j12]Samuel Jackson, Jeremy Straub, Scott Kerlin:
Exploring a Novel Cryptographic Solution for Securing Small Satellite Communications. Int. J. Netw. Secur. 20(5): 988-997 (2018) - [j11]Wade Trappe, Jeremy Straub:
Cybersecurity: A New Open Access Journal. J. Cybersecur. Priv. 1(1): 1 (2018) - [j10]Wade Trappe, Jeremy Straub:
Journal of Cybersecurity and Privacy: A New Open Access Journal. J. Cybersecur. Priv. 1(1): 1-3 (2018) - [c19]Jeremy Straub:
Cybersecurity Considerations for Image Pattern Recognition Applications. AIPR 2018: 1-6 - [c18]Demitrius Fenton, Terry Traylor, Guy Hokanson, Jeremy Straub:
Integrating Cyber Range Technologies and Certification Programs to Improve Cybersecurity Training Programs. ICL (2) 2018: 632-643 - 2017
- [j9]Jeremy Straub:
Effects of international trafficking in arms regulations changes. Commun. ACM 60(1): 39-41 (2017) - [c17]Karanam Ravichandran Dayananda, Jeremy Straub:
Zone based hybrid approach for clustering and data collection in wireless sensor networks. CONIELECOMP 2017: 1-8 - [c16]Michael Kuehn, Jared Estad, Jeremy Straub, Thomas Stokke, Scott Kerlin:
An expert system for the prediction of student performance in an initial computer science course. EIT 2017: 1-6 - [c15]San Ha Seo, Jeremy Straub:
Comparative analysis of graph partitioning algorithms in context of computation offloading. EIT 2017: 1-7 - [c14]Jeremy Straub, Scott Kerlin, Eunjin Kim:
Analysis of student characteristics and feeling of efficacy in a first undergraduate artificial intelligence course. EIT 2017: 10-15 - [c13]Jeremy Straub, Scott Kerlin, David Whalen:
Teaching software project management using project based learning (PBL) and group projects. EIT 2017: 16-21 - [c12]Jeremy Straub, Wafaa Amer, Christian Ames, Karanam Ravichandran Dayananda, Andrew Jones, Goutham Miryala, Nathan Olson, Noah Rockenback, Franklin Slaby, Santipab Tipparach, Samuel Fehringer, David Jedynak, Haiming Lou, Dakota Martin, Marc Olberding, Austin Oltmanns, Brady Goenner, Jessie Lee, Dylan Shipman:
An internetworked self-driving car system-of-systems. SoSE 2017: 1-6 - [c11]Jeremy Straub, John McMillan, Brett Yaniero, Mitchell Schumacher, Abdullah Almosalami, Kelvin Boatey, Jordan Hartman:
CyberSecurity considerations for an interconnected self-driving car system of systems. SoSE 2017: 1-6 - 2016
- [j8]Jeremy Straub:
Automating maintenance for a one-way transmitting blackboard system used for autonomous multi-tier control. Expert Syst. J. Knowl. Eng. 33(6): 518-530 (2016) - [j7]Jeremy Straub:
A Distributed Blackboard Approach Based Upon a Boundary Node Concept. J. Intell. Robotic Syst. 82(3-4): 467-478 (2016) - [c10]Jeremy Straub:
Consideration of the versatility of the Open Prototype for Educational NanoSats CubeSat design. EIT 2016: 586-591 - [c9]Michael Kuehn, Jarred Estad, Jeremy Straub, Thomas Stokke, Scott Kerlin:
An Expert System for the Prediction of Student Performance in an Initial Computer Science Course (Abstract Only). SIGCSE 2016: 699-700 - 2015
- [j6]Jeremy Straub:
Comparing the effect of pruning on a best path and a naïve-approach blackboard solver. Int. J. Autom. Comput. 12(5): 503-510 (2015) - [j5]Jeremy Straub:
Evaluation of high-altitude balloons as a learning technology. Int. J. Learn. Technol. 10(1): 94-110 (2015) - [j4]Jeremy Straub, Hassan Reza:
A Blackboard-style decision-making system for multi-tier craft control and its evaluation. J. Exp. Theor. Artif. Intell. 27(6): 763-777 (2015) - [c8]Samuel Jackson, Scott Kerlin, Jeremy Straub:
POSTER: Implementing and Testing a Novel Chaotic Cryptosystem for Use in Small Satellites. CCS 2015: 1638-1640 - [c7]Jeremy Straub:
POSTER: Blackboard-Based Electronic Warfare System. CCS 2015: 1681-1683 - [c6]Sofiane Chaieb, Michael Wegerson, Benjamin Kading, Jeremy Straub, Ronald Marsh, David Whalen:
The OpenOrbiter CubeSat as a system-of-systems (SoS) and how SoS engineering (SoSE) Aids CubeSat design. SoSE 2015: 47-52 - 2014
- [j3]Jeremy Straub:
Assessment of examinations in computer science doctoral education. Comput. Sci. Educ. 24(1): 25-70 (2014) - [j2]Jeremy Straub:
Evaluation of a Multi-Goal Solver for Use in a Blackboard Architecture. Int. J. Decis. Support Syst. Technol. 6(1): 1-13 (2014) - [c5]Jeremy Straub, Hassan Reza:
The Use of the Blackboard Architecture for a Decision Making System for the Control of Craft with Various Actuator and Movement Capabilities. ITNG 2014: 514-519 - 2013
- [j1]Jeremy Straub, Justin Huber:
A Characterization of the Utility of Using Artificial Intelligence to Test Two Artificial Intelligence Systems. Comput. 2(2): 67-87 (2013) - [c4]Jeremy Straub, Sebastian Hilsenbeck, Georg Schroth, Robert Huitl, Andreas Möller, Eckehard G. Steinbach:
Fast relocalization for visual odometry using binary features. ICIP 2013: 2548-2552 - [c3]Jeremy Straub, Eunjin Kim:
Characterization of Extended and Simplified Intelligent Water Drop (SIWD) Approaches and Their Comparison to the Intelligent Water Drop (IWD) Approach. ICTAI 2013: 101-107 - 2012
- [c2]Jeremy Straub:
Super-resolution terrain map enhancement for navigation based on satellite imagery. Intelligent Robots and Computer Vision: Algorithms and Techniques 2012: 83010J - [c1]Monica A. Trifas, Jeremy Straub:
A comparison of techniques for super-resolution evaluation. IQSP 2012: 82930Z
Coauthor Index
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