Involuntary Transfer: A Vulnerability Pattern in Smart Contracts von Ali Khan, Zulfiqar, Siami Namin, Akbar

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A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data von Gopali, Saroj, Siami-Namini, Sima, Abri, Faranak, Siami Namin, Akbar

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The Applicability of LLMs in Generating Textual Samples for Analysis of Imbalanced Datasets von Gopali, Saroj, Abri, Faranak, Siami Namin, Akbar, Jones, Keith S.

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Continuous Authentications Using Frequent English Terms von Darabseh, Alaa, Siami-Namini, Sima, Siami Namin, Akbar

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A Survey on the Moving Target Defense Strategies: An Architectural Perspective von Zheng, Jianjun, Namin, Akbar Siami

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Metaphor identification in cybersecurity texts: a lightweight linguistic approach von Hilton, Kelsey, Siami Namin, Akbar, Jones, Keith S.

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Using experiential learning to teach and learn digital forensics: Educator and student perspectives von Flores, Raymond, Siami Namin, Akbar, Tavakoli, Neda, Siami-Namini, Sima, Jones, Keith S.

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Deep Learning-Based Time-Series Analysis for Detecting Anomalies in Internet of Things von Gopali, Saroj, Siami Namin, Akbar

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How Perceptions of Caller Honesty Vary During Vishing Attacks That Include Highly Sensitive or Seemingly Innocuous Requests von Armstrong, Miriam E., Jones, Keith S., Namin, Akbar Siami

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Reinforcement Learning for Generating Secure Configurations von Dass, Shuvalaxmi, Siami Namin, Akbar

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The effects of persuasion principles on perceived honesty during shoulder surfing attacks von Jones, Keith S., Tornblad, McKenna K., Armstrong, Miriam E., Choi, Jinwoo, Siami Namin, Akbar

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A Survey of Vulnerability Detection Techniques by Smart Contract Tools von Khan, Zulfiqar A., Namin, Akbar Siami

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How social engineers use persuasion principles during vishing attacks von Jones, Keith S., Armstrong, Miriam E., Tornblad, McKenna K., Siami Namin, Akbar

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The performance of the LSTM-based code generated by Large Language Models (LLMs) in forecasting time series data von Gopali, Saroj, Siami-Namini, Sima, Abri, Faranak, Namin, Akbar Siami

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An autoencoder-based deep learning approach for clustering time series data von Tavakoli, Neda, Siami-Namini, Sima, Adl Khanghah, Mahdi, Mirza Soltani, Fahimeh, Siami Namin, Akbar

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Sal-HMAX: An Enhanced HMAX Model in Conjunction With a Visual Attention Mechanism to Improve Object Recognition Task von Shariatmadar, Zahra Sadat, Faez, Karim, Namin, Akbar Siami

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How do non experts think about cyber attack consequences? von Jones, Keith S., Lodinger, Natalie R., Widlus, Benjamin P., Siami Namin, Akbar, Maw, Emily, Armstrong, Miriam E.

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Markov Decision Process for Modeling Social Engineering Attacks and Finding Optimal Attack Strategies von Abri, Faranak, Zheng, Jianjun, Namin, Akbar Siami, Jones, Keith S.

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Grouping and Determining Perceived Severity of Cyber-Attack Consequences: Gaining Information Needed to Sonify Cyber-Attacks von Jones, Keith S., Lodinger, Natalie R., Widlus, Benjamin P., Namin, Akbar Siami, Maw, Emily, Armstrong, Miriam

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Sufficient mutation operators for measuring test effectiveness von Namin, A.S., Andrews, J., Murdoch, D.

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