John D. Hastings

60 papers B 1C 10Misc 1Journal 32Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gravity Falls: A Comparative Analysis of Domain-Generation Algorithm (DGA) Detection Methods for Mobile Device Spearphishing. CoRR Adam Dorian Wong, John D. Hastings
2026	—	`conf`	Hardening the OSv Unikernel With Efficient Address Randomization: Design and Performance Evaluation. ISDFS Alex Wollman, John D. Hastings
2026	J	`jnl`	Hardening the OSv Unikernel with Efficient Address Randomization: Design and Performance Evaluation. CoRR Alex Wollman, John D. Hastings
2026	J	`jnl`	Introducing Axlerod: An LLM-based Chatbot for Assisting Independent Insurance Agents. CoRR Adam Bradley, John D. Hastings, Khandaker Mamun Ahmed
2026	—	`conf`	Toward Secure and Compliant AI: Organizational Standards and Protocols for NLP Model Lifecycle Management. ICAART (2) Sunil Arora, John D. Hastings
2026	—	`conf`	Unsupervised Baseline Clustering and Incremental Adaptation for IoT Device Traffic Profiling. ISDFS Sean M. Alderman, John D. Hastings
2026	J	`jnl`	Unsupervised Baseline Clustering and Incremental Adaptation for IoT Device Traffic Profiling. CoRR Sean M. Alderman, John D. Hastings
2026	—	`conf`	Weak Enforcement and Low Compliance in PCI DSS: A Comparative Security Study. ISDFS Soonwon Park, John D. Hastings
2025	C	`conf`	A Systematic Review and Taxonomy for Privacy Breach Classification: Trends, Gaps, and Future Directions. ISNCC Clint Fuchs, John D. Hastings
2025	J	`jnl`	A Systematic Review and Taxonomy for Privacy Breach Classification: Trends, Gaps, and Future Directions. CoRR Clint Fuchs, John D. Hastings
2025	—	`conf`	Advancing DevSecOps in SMEs: Challenges and Best Practices for Secure CI/CD Pipelines. ISDFS Jayaprakashreddy Cheenepalli, John D. Hastings, Khandaker Mamun Ahmed, Chad Fenner
2025	J	`jnl`	Advancing DevSecOps in SMEs: Challenges and Best Practices for Secure CI/CD Pipelines. CoRR Jayaprakashreddy Cheenepalli, John D. Hastings, Khandaker Mamun Ahmed, Chad Fenner
2025	J	`jnl`	An Ethically Grounded LLM-Based Approach to Insider Threat Synthesis and Detection. CoRR Haywood Gelman, John D. Hastings, David Kenley
2025	C	`conf`	Assessing Evasion Attacks on Tree-Based Machine Learning Models: Supervised vs. Unsupervised Approaches. ICCE Carson Koball, Yong Wang, Varghese Mathew Vaidyan, John D. Hastings
2025	—	`conf`	Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code. ISDFS Gary A. McCully, John D. Hastings, Shengjie Xu, Adam Fortier
2025	J	`jnl`	LibLMFuzz: LLM-Augmented Fuzz Target Generation for Black-box Libraries. CoRR Ian Hardgrove, John D. Hastings
2025	J	`jnl`	Quantifying Return on Security Controls in LLM Systems. CoRR Richard H. Moulton, Austin O'Brien, John D. Hastings
2025	—	`conf`	Scalable and Ethical Insider Threat Detection through Data Synthesis and Analysis by LLMs. ISDFS Haywood Gelman, John D. Hastings
2025	J	`jnl`	Scalable and Ethical Insider Threat Detection through Data Synthesis and Analysis by LLMs. CoRR Haywood Gelman, John D. Hastings
2025	J	`jnl`	Securing Agentic AI Systems - A Multilayer Security Framework. CoRR Sunil Arora, John D. Hastings
2025	J	`jnl`	TEDVIL: Leveraging Transformer-Based Embeddings for Vulnerability Detection in Lifted Code. IEEE Access Gary A. McCully, John D. Hastings, Shengjie Xu
2025	J	`jnl`	Toward Secure and Compliant AI: Organizational Standards and Protocols for NLP Model Lifecycle Management. CoRR Sunil Arora, John D. Hastings
2025	J	`jnl`	Weak Enforcement and Low Compliance in PCI~DSS: A Comparative Security Study. CoRR Soonwon Park, John D. Hastings
2024	J	`jnl`	A Survey of Unikernel Security: Insights and Trends from a Quantitative Analysis. CoRR Alex Wollman, John D. Hastings
2024	J	`jnl`	A Survey-Based Quantitative Analysis of Stress Factors and Their Impacts Among Cybersecurity Professionals. CoRR Sunil Arora, John D. Hastings
2024	J	`jnl`	Analyzing LLMs' Capabilities to Establish Implicit User Sentiment of Software Desirability. CoRR Sherri Weitl-Harms, John D. Hastings, Jonah Lum
2024	J	`jnl`	Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code. CoRR Gary A. McCully, John D. Hastings, Shengjie Xu, Adam Fortier
2024	J	`jnl`	CEKER: A Generalizable LLM Framework for Literature Analysis with a Case Study in Unikernel Security. CoRR Alex Wollman, John D. Hastings
2024	J	`jnl`	Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code. CoRR Gary A. McCully, John D. Hastings, Shengjie Xu, Adam Fortier
2024	J	`jnl`	Confronting the Reproducibility Crisis: A Case Study in Validating Certified Robustness. CoRR Richard H. Moulton, Gary A. McCully, John D. Hastings
2024	J	`jnl`	Cyber Security Operations Educational Gamification Application Listing. CoRR Sherri Weitl-Harms, Adam Spanier, John D. Hastings
2024	J	`jnl`	Impact of Data Snooping on Deep Learning Models for Locating Vulnerabilities in Lifted Code. CoRR Gary A. McCully, John D. Hastings, Shengjie Xu
2024	C	`conf`	Microsegmented Cloud Network Architecture Using Open-Source Tools for a Zero Trust Foundation. SIN Sunil Arora, John D. Hastings
2024	J	`jnl`	Microsegmented Cloud Network Architecture Using Open-Source Tools for a Zero Trust Foundation. CoRR Sunil Arora, John D. Hastings
2024	J	`jnl`	SETC: A Vulnerability Telemetry Collection Framework. CoRR Ryan Holeman, John D. Hastings, Varghese Mathew Vaidyan
2024	—	`conf`	Safeguarding Virtual Healthcare: A Novel Attacker-Centric Model for Data Security and Privacy. ICCA Suvineetha Herath, Haywood Gelman, John D. Hastings, Yong Wang
2024	J	`jnl`	Safeguarding Virtual Healthcare: A Novel Attacker-Centric Model for Data Security and Privacy. CoRR Suvineetha Herath, Haywood Gelman, John D. Hastings, Yong Wang
2024	J	`jnl`	The Psychological Impacts of Algorithmic and AI-Driven Social Media on Teenagers: A Call to Action. CoRR Sunil Arora, Sahil Arora, John D. Hastings
2024	—	`conf`	The Trajectory of Romance Scams in the U.S. ISDFS LD Herrera, John D. Hastings
2024	J	`jnl`	The Trajectory of Romance Scams in the U.S. CoRR LD Herrera, John D. Hastings
2024	Misc	`conf`	Toward Automated Knowledge Discovery in Case-Based Reasoning. FLAIRS Sherri Weitl-Harms, John D. Hastings, Jay H. Powell
2024	—	`conf`	Toward an Insider Threat Education Platform: A Theoretical Literature Review. ICCA Haywood Gelman, John D. Hastings, David Kenley, Eleanor T. Loiacono
2024	J	`jnl`	Toward an Insider Threat Education Platform: A Theoretical Literature Review. CoRR Haywood Gelman, John D. Hastings, David Kenley, Eleanor T. Loiacono
2024	J	`jnl`	Transforming Information Systems Management: A Reference Model for Digital Engineering Integration. CoRR John Bonar, John D. Hastings
2024	C	`conf`	Using LLMs to Establish Implicit User Sentiment of Software Desirability. ICMLA Sherri Weitl-Harms, John D. Hastings, Jonah Lum
2024	B	`conf`	Utilizing Large Language Models to Synthesize Product Desirability Datasets. IEEE Big Data John D. Hastings, Sherri Weitl-Harms, Joseph Doty, Zachary J. Myers, Warren Thompson
2024	J	`jnl`	Utilizing Large Language Models to Synthesize Product Desirability Datasets. CoRR John D. Hastings, Sherri Weitl-Harms, Joseph Doty, Zachary J. Myers, Warren Thompson
2023	—	`conf`	Assessing User Experiences with ZORQ: A Gamification Framework for Computer Science Education. HICSS Sherri Weitl-Harms, Adam Spanier, Matthew Rokusek, John D. Hastings
2022	C	`conf`	ZORQ: A Gamification Framework for Computer Science Education. FIE John D. Hastings, Sherri Weitl-Harms, Adam Spanier, Matthew Rokusek, Ryan Henszey
2021	C	`conf`	A Classification Scheme for Gamification in Computer Science Education: Discovery of Foundational Gamification Genres in Data Structures Courses. FIE Adam Spanier, Sherri Weitl-Harms, John D. Hastings
2016	C	`conf`	A cross-curricular approach to fostering innovation such as virtual reality development through student-led projects. FIE Sherri K. Harms, John D. Hastings
2014	—	`conf`	Early Assessment of an Approach to Determining the Predictive Coverage of Case-Based Reasoning with Adaptation through CARMA. HICSS John D. Hastings, Alexandre V. Latchininsky, Tyler J. Adelung, Scott P. Schell
2010	—	`conf`	CARMA: Assessing Usability through a Non-Biased Online Survey Technique. HICSS John D. Hastings, Anatole Mirasano, Alexandre V. Latchininsky, Scott P. Schell
2009	—	`conf`	Sustainability of Grasshopper Management and Support through CARMA. HICSS John D. Hastings, Alexandre V. Latchininsky, Scott P. Schell
2007	—	`conf`	Good CARMA for the High Plains. AMCIS Alexandre V. Latchininsky, Scott P. Schell, John D. Hastings
2005	C	`conf`	Evaluating the Effectiveness of Exploration and Accumulated Experience in Automatic Case Elicitation. ICCBR Jay H. Powell, Brandon M. Hauff, John D. Hastings
2005	—	`conf`	On the Effectiveness of Automatic Case Elicitation in a More Complex Domain. ICCBR Workshops Siva N. Kommuri, Jay H. Powell, John D. Hastings
2002	J	`jnl`	CARMA: A Case-Based Rangeland Management Adviser. AI Mag. John D. Hastings, Karl Branting, Jeffrey A. Lockwood
2001	C	`conf`	CARMA: A Case-Based Range Management Advisor. IAAI Karl Branting, John D. Hastings, Jeffrey A. Lockwood
1995	C	`conf`	Case Adaption Using an Incomplete Causal Model. ICCBR John D. Hastings, Karl Branting, Jeffrey A. Lockwood