John D. Hastings

According to our database, John D. Hastings authored at least 48 papers between 1995 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Beyond Collection: Measuring the Detection Efficacy of Modern Security Logging Standards.

Ryan Holeman, John D. Hastings, Varghese Mathew Vaidyan

CoRR, May, 2026

Gravity Falls: A Comparative Analysis of Domain-Generation Algorithm (DGA) Detection Methods for Mobile Device Spearphishing.

Adam Dorian Wong, John D. Hastings

CoRR, March, 2026

Introducing Axlerod: An LLM-based Chatbot for Assisting Independent Insurance Agents.

Adam Bradley, John D. Hastings, Khandaker Mamun Ahmed

CoRR, January, 2026

Hardening the OSv Unikernel With Efficient Address Randomization: Design and Performance Evaluation.

Alex Wollman, John D. Hastings

Proceedings of the 2026 14th International Symposium on Digital Forensics and Security (ISDFS), 2026

Weak Enforcement and Low Compliance in PCI DSS: A Comparative Security Study.

Soonwon Park, John D. Hastings

Proceedings of the 2026 14th International Symposium on Digital Forensics and Security (ISDFS), 2026

Unsupervised Baseline Clustering and Incremental Adaptation for IoT Device Traffic Profiling.

Sean M. Alderman, John D. Hastings

Proceedings of the 2026 14th International Symposium on Digital Forensics and Security (ISDFS), 2026

Toward Secure and Compliant AI: Organizational Standards and Protocols for NLP Model Lifecycle Management.

Sunil Arora, John D. Hastings

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2025

Securing Agentic AI Systems - A Multilayer Security Framework.

Sunil Arora, John D. Hastings

CoRR, December, 2025

Quantifying Return on Security Controls in LLM Systems.

Richard H. Moulton, Austin O'Brien, John D. Hastings

CoRR, December, 2025

An Ethically Grounded LLM-Based Approach to Insider Threat Synthesis and Detection.

Haywood Gelman, John D. Hastings, David Kenley

CoRR, September, 2025

LibLMFuzz: LLM-Augmented Fuzz Target Generation for Black-box Libraries.

Ian Hardgrove, John D. Hastings

CoRR, July, 2025

TEDVIL: Leveraging Transformer-Based Embeddings for Vulnerability Detection in Lifted Code.

Gary A. McCully, John D. Hastings, Shengjie Xu

IEEE Access, 2025

A Systematic Review and Taxonomy for Privacy Breach Classification: Trends, Gaps, and Future Directions.

Clint Fuchs, John D. Hastings

Proceedings of the International Symposium on Networks, Computers and Communications, 2025

Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code.

Gary A. McCully, John D. Hastings, Shengjie Xu, Adam Fortier

Proceedings of the 13th International Symposium on Digital Forensics and Security, 2025

Scalable and Ethical Insider Threat Detection through Data Synthesis and Analysis by LLMs.

Haywood Gelman, John D. Hastings

Proceedings of the 13th International Symposium on Digital Forensics and Security, 2025

Advancing DevSecOps in SMEs: Challenges and Best Practices for Secure CI/CD Pipelines.

Jayaprakashreddy Cheenepalli, John D. Hastings, Khandaker Mamun Ahmed, Chad Fenner

Proceedings of the 13th International Symposium on Digital Forensics and Security, 2025

Assessing Evasion Attacks on Tree-Based Machine Learning Models: Supervised vs. Unsupervised Approaches.

Carson Koball, Yong Wang, Varghese Mathew Vaidyan, John D. Hastings

Proceedings of the IEEE International Conference on Consumer Electronics, 2025

2024

CEKER: A Generalizable LLM Framework for Literature Analysis with a Case Study in Unikernel Security.

Alex Wollman, John D. Hastings

CoRR, 2024

Impact of Data Snooping on Deep Learning Models for Locating Vulnerabilities in Lifted Code.

Gary A. McCully, John D. Hastings, Shengjie Xu

CoRR, 2024

A Survey-Based Quantitative Analysis of Stress Factors and Their Impacts Among Cybersecurity Professionals.

Sunil Arora, John D. Hastings

CoRR, 2024

The Psychological Impacts of Algorithmic and AI-Driven Social Media on Teenagers: A Call to Action.

Sunil Arora, Sahil Arora, John D. Hastings

CoRR, 2024

Analyzing LLMs' Capabilities to Establish Implicit User Sentiment of Software Desirability.

Sherri Weitl-Harms, John D. Hastings, Jonah Lum

CoRR, 2024

Cyber Security Operations Educational Gamification Application Listing.

Sherri Weitl-Harms, Adam Spanier, John D. Hastings

CoRR, 2024

SETC: A Vulnerability Telemetry Collection Framework.

Ryan Holeman, John D. Hastings, Varghese Mathew Vaidyan

CoRR, 2024

A Survey of Unikernel Security: Insights and Trends from a Quantitative Analysis.

Alex Wollman, John D. Hastings

CoRR, 2024

Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code.

Gary A. McCully, John D. Hastings, Shengjie Xu, Adam Fortier

CoRR, 2024

Transforming Information Systems Management: A Reference Model for Digital Engineering Integration.

John Bonar, John D. Hastings

CoRR, 2024

Confronting the Reproducibility Crisis: A Case Study in Validating Certified Robustness.

Richard H. Moulton, Gary A. McCully, John D. Hastings

CoRR, 2024

Microsegmented Cloud Network Architecture Using Open-Source Tools for a Zero Trust Foundation.

Sunil Arora, John D. Hastings

Proceedings of the 17th International Conference on Security of Information and Networks, 2024

The Trajectory of Romance Scams in the U.S.

LD Herrera, John D. Hastings

Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024

Using LLMs to Establish Implicit User Sentiment of Software Desirability.

Sherri Weitl-Harms, John D. Hastings, Jonah Lum

Proceedings of the International Conference on Machine Learning and Applications, 2024

Safeguarding Virtual Healthcare: A Novel Attacker-Centric Model for Data Security and Privacy.

Suvineetha Herath, Haywood Gelman, John D. Hastings, Yong Wang

Proceedings of the International Conference on Computer and Applications, 2024

Toward an Insider Threat Education Platform: A Theoretical Literature Review.

Haywood Gelman, John D. Hastings, David Kenley, Eleanor T. Loiacono

Proceedings of the International Conference on Computer and Applications, 2024

Toward Automated Knowledge Discovery in Case-Based Reasoning.

Sherri Weitl-Harms, John D. Hastings, Jay H. Powell

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Utilizing Large Language Models to Synthesize Product Desirability Datasets.

John D. Hastings, Sherri Weitl-Harms, Joseph Doty, Zachary J. Myers, Warren Thompson

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Assessing User Experiences with ZORQ: A Gamification Framework for Computer Science Education.

Sherri Weitl-Harms, Adam Spanier, Matthew Rokusek, John D. Hastings

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

ZORQ: A Gamification Framework for Computer Science Education.

John D. Hastings, Sherri Weitl-Harms, Adam Spanier, Matthew Rokusek, Ryan Henszey

Proceedings of the IEEE Frontiers in Education Conference, 2022

2021

A Classification Scheme for Gamification in Computer Science Education: Discovery of Foundational Gamification Genres in Data Structures Courses.

Adam Spanier, Sherri Weitl-Harms, John D. Hastings

Proceedings of the IEEE Frontiers in Education Conference, 2021

2016

A cross-curricular approach to fostering innovation such as virtual reality development through student-led projects.

Sherri K. Harms, John D. Hastings

Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016

2014

Early Assessment of an Approach to Determining the Predictive Coverage of Case-Based Reasoning with Adaptation through CARMA.

John D. Hastings, Alexandre V. Latchininsky, Tyler J. Adelung, Scott P. Schell

Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

2010

CARMA: Assessing Usability through a Non-Biased Online Survey Technique.

John D. Hastings, Anatole Mirasano, Alexandre V. Latchininsky, Scott P. Schell

Proceedings of the 43rd Hawaii International International Conference on Systems Science (HICSS-43 2010), 2010

2009

Sustainability of Grasshopper Management and Support through CARMA.

John D. Hastings, Alexandre V. Latchininsky, Scott P. Schell

Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009

2007

Good CARMA for the High Plains.

Alexandre V. Latchininsky, Scott P. Schell, John D. Hastings

Proceedings of the Reaching New Heights. 13th Americas Conference on Information Systems, 2007

2005

Evaluating the Effectiveness of Exploration and Accumulated Experience in Automatic Case Elicitation.

Jay H. Powell, Brandon M. Hauff, John D. Hastings

Proceedings of the Case-Based Reasoning, 2005

On the Effectiveness of Automatic Case Elicitation in a More Complex Domain.

Siva N. Kommuri, Jay H. Powell, John D. Hastings

Proceedings of the 6th International Conference on Case-Based Reasoning, 2005

2002

CARMA: A Case-Based Rangeland Management Adviser.

John D. Hastings, Karl Branting, Jeffrey A. Lockwood

AI Mag., 2002

2001

CARMA: A Case-Based Range Management Advisor.

Karl Branting, John D. Hastings, Jeffrey A. Lockwood

Proceedings of the Thirteenth Innovative Applications of Artificial Intelligence Conference, 2001

1995

Case Adaption Using an Incomplete Causal Model.

John D. Hastings, Karl Branting, Jeffrey A. Lockwood

Proceedings of the Case-Based Reasoning Research and Development, 1995