SECReT - Publications

SECReT

Peer Reviewed Journal Publications

2026

A. Efat, M. Zibran, and F. Eishita. Skin Lesion Classification Breakthrough: Leveraging Independent-Serial-Parallel-Stacking Ensemble Architecture with Reciprocal Cross-Entropy Averaging. In IEEE Access, https://doi.org/10.1109/ACCESS.2026.3657954, pp. 1-28, IEEE, 2026.

2025

A. Champa, M. Rabbi, F. Eishita, and M. Zibran. Catch Me If You See: Using Visual Cue and Explanatory Feedback to Enhance Human Phishing Detection. IEEE Access, Vol. 13, https://doi.org/10.1109/ACCESS.2025.3631670, pp. 193249 - 193272, IEEE, 2025.
N. Jannat, S. Hasan, and M. Zibran. A Novel Ensemble Approach for Crop Disease Detection by Leveraging Customized EfficientNets and Interpretability. In Elsevier Pattern Recognition Letters, ISSN 0167-8655, Vol. 197, pp. 1 - 8, Elsevier, 2025.

Peer Reviewed Conference Contributions

2026

M. Rabbi, A. Turzo, A. Champa and M. Zibran. The SBOM Gap: Adoption and Compliance in Open Source Software. In 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 1 - 12, Limassol, Cyprus, IEEE, 2026 (to appear).
A. Champa, M. Rabbi, and M. Zibran. Battling Phish: An Empirical Comparison of ML, DL, and LLM in Phishing URL Detection Across Datasets. In 41st ACM/SIGAPP Symposium on Applied Computing (SAC), pp. 1 - 10, Thessaloniki, Greece, ACM, 2026 (to appear).
C. Nachuma and M. Zibran. When AI Teammates Meet Code Review: Collaboration Signals Shaping the Integration of Agent-Authored Pull Requests. In 23rd ACM International Conference on Mining Software Repositories (MSR), pp. 1 - 5, Rio de Janeiro, Brazil, ACM, 2026 (to appear).
S. Hasan, M. Rabbi, and M. Zibran. The Quiet Contributions: Insights into AI-Generated Silent Pull Requests. In 23rd ACM International Conference on Mining Software Repositories (MSR), pp. 1 - 5, Rio de Janeiro, Brazil, ACM, 2026 (to appear).
S. Rahman, M. Rabbi, and M. Zibran. A Task-Level Evaluation of AI Agents in Open-Source Projects. In 23rd ACM International Conference on Mining Software Repositories (MSR), pp. 1 - 5, Rio de Janeiro, Brazil, ACM, 2026 (to appear).
M. Sarkar, A. Efat, M. Khan, M. Zibran, and J. Nabin. Unraveling the Factors of Procrastination: An Insightful Assessment of Procrastination Levels Through ML and XAI. In 5th International Conference on Computing and Machine Intelligence, pp. 1 - 6, Saudi Arabia, IEEE, 2026 (to appear).
A. Efat, S. Hasan, M. Zibran, and F. Eishita. Why Do Admission Attempts Fail? An Analysis of Bangladeshi University Admission Applicants Using ML and XAI. In 5th International Conference on Computing and Machine Intelligence, pp. 1 - 10, Saudi Arabia, IEEE, 2026 (to appear).

2025

M. Shafin, M. Rabbi, S. Hasan, and M. Zibran. "Faster Releases, Fewer Risks: A Study on Maven Artifact Vulnerabilities and Lifecycle Management." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 275--279, Canada, IEEE, 2025 [Best Paper Award in mining challenge track].
M. Rabbi, A. Champa, R. Paul, and M. Zibran. "Chasing the Clock: How Fast Are Vulnerabilities Fixed in the Maven Ecosystem?" In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 265--269, Canada, IEEE, 2025.
C. Nachuma, M. Hossan, A. Turzo, and M. Zibran. "Decoding Dependency Risks: A Quantitative Study of Vulnerabilities in the Maven Ecosystem." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 270--274, Canada, IEEE, 2025.
M. Rabbi, R. Paul, A. Champa, and M. Zibran. "Understanding Software Vulnerabilities in the Maven Ecosystem: Patterns, Timelines, and Risks." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 290--294, Canada, IEEE, 2025.
B. Chowdhury, M. Rabbi, S. Hasan, and M. Zibran. "Insights into Dependency Maintenance Trends in the Maven Ecosystem." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 280--284, Canada, IEEE, 2025.
G. Lake and M. Zibran. "Analyzing Dependency Clusters and Security Risks in the Maven Central Repository." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 260--264, Canada, IEEE, 2025.
C. Bodily, E. Hill, A. Kramer, L. Kerby, and M. Zibran. "Insights into Vulnerability Trends in Maven Artifacts: Recurrence, Popularity, and User Behavior." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 285--289, Canada, IEEE, 2025.
M. Rabbi, A. Champa, and M. Zibran. "Claim vs. Capability: A Comparative Analysis of the SBOM Generation Tools for Rust Projects." In 40th ACM/SIGAPP Symposium on Applied Computing, pp. 1712--1720, Italy, ACM, 2025.
C. Nachuma, M. Fouda, and M. Zibran. "Security and Privacy for LLMs and LMMs Across Key Sectors: A Literature Survey." In 22nd Springer International Conference on Information Technology - New Generations (ITNG), pp. 25 - 29, USA, Springer, 2025.
Z. Beck, A. Crooks, M. Rabbi, M. Zibran, and F. Eishita. "Password Security in Practice: An Appraisal Using Users' Perception and Machine Learning." In 22nd Springer International Conference on Information Technology - New Generations (ITNG), pp. 13 - 24, USA, Springer, 2025.
A. Svancara, G. Gardener, P. Gilbreath, C. Appiagyei, E. Barlow, and M. Zibran. "Dealing with Dependency: How Dependencies Shape Release Frequency in the Maven Ecosystem." In 8th IEEE International Conference on Software and System Engineering (ICoSSE) pp. 39-44, France, IEEE, 2025.
A. Efat, S. Hasan, and M. Zibran. "GreekNet: Handwritten Greek Alphabet Recognition Using Explainable Parallel CNN with Attention Mechanisms." In 4th International Conference on Computing and Machine Intelligence (ICMI), pp. 1-9, USA, IEEE, 2025.
M. Bhuiyan, M. Rabbi, S. Hasan, and M. Zibran. "The Popularity Paradox: Insights into Vulnerabilities and Updates in Maven Ecosystem." In 8th IEEE International Conference on Software and System Engineering (ICoSSE), pp. 45-50, France, IEEE, 2025.
N. Jannat, S. Hasan, M. Zibran. "Revolutionizing Crop Leaf Disease Detection: A Novel Ensemble Learning Framework Using Customized EfficientNets". In Intelligent Systems and Pattern Recognition, Communications in Computer and Information Science (CCIS) Series, Vol 2303, https://doi.org/10.1007/978-3-031-82150-9_10, pp. 114 - 129, Springer, 2025 [3rd Best Paper Award, Invited at Elsevier Pattern Recognition Letters].
M. Oishe, S. Hasan, and M. Zibran. "Breaking the Mold: ViT-CNN Fusion for Enhanced Glaucoma Prediction Using Machine Learning Classifiers in OCT Images." In Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, Vol 15166, https://doi.org/10.1007/978-3-031-81596-6_29, pp. 326 - 344, Springer, 2025.
N. Bhattarai, R. Stratton, and M. Zibran. "An Empirical Study on the Evolution and Vulnerabilities of Maven Artifacts" In 2025 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE), pp 1 - 11, Springer, 2025 (to appear).

2024

M. Rabbi, A. Champa, C. Nachuma, and M. Zibran, "SBOM Generation Tools Under Microscope: A Focus on the npm Ecosystem," In 39th ACM/SIGAPP Symposium On Applied Computing (SAC), pp. 1233–1241, Spain, 2024.
M. Rabbi, A. Champa, M. Zibran, and M. Islam, "AI Writes, We Analyze: The ChatGPT Python Code Saga," In 21st ACM International Conference on Mining Software Repositories (MSR), pp. 177 - 181, Portugal, 2024.
A. Champa, M. Rabbi, C. Nachuma, and M. Zibran, "ChatGPT in Action: Analyzing Its Use in Software Development," In 21st ACM International Conference on Mining Software Repositories (MSR), pp. 182 - 186, Portugal, 2024.
M. Islam, M. Rabbi, J. Youngeun, A. Champa, E. Young, C. Wilson, G. Scott, and M. Zibran, "A Four-Dimension Gold Standard Dataset for Opinion Mining in Software Engineering," In 21st ACM International Conference on Mining Software Repositories (MSR), pp. 487 - 491, Portugal, 2024.
A. Champa, M. Rabbi, and M. Zibran, "Why Phishing Emails Escape Detection: A Closer Look at the Failure Points" In 12th IEEE International Symposium on Digital Forensics and Security (ISDFS), pp. 1 - 6, USA, 2024.
A. Champa, M. Rabbi, and M. Zibran, "Curated Datasets and Feature Analysis for Phishing Email Detection with Machine Learning," In 3rd IEEE International Conference on Computing and Machine Intelligence (ICMI), pp. 1 - 7, USA, 2024.
A. Champa, M. Rabbi, M. Fouda, and M. Zibran. "Deep Enough? On the Effectiveness of Deep Learning in Phishing Email Detection." In 2nd IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things, pp. 1--7, Michigan, USA, 2024.
A. Clark, D. Igbokwe, S. Ross, M. Zibran, "A Quantitative Analysis of Quality and Consistency in AI-generated Code," In 7th International Conference on Software and System Engineering (ICoSSE), pp. 37 - 41, France, 2024.
S. McDaniel and M. Zibran, "Improving Source Code with Assistance from AI - A Pilot Case Study with ChatGPT," In 7th IEEE International Conference on Information and Computer Technologies (ICICT), pp. 332 - 337, USA, 2024.
A. Hafezi, M. Zibran, and T. Deemyad, "Autonomous Surveillance Breakthrough by Implementing Facial Recognition in Dog Robots," In IEEE Intermountain Engineering, Technology, and Computing Conference (i-ETC), pp. 221 - 226, USA, 2024.

2023

A. Champa, M. Rabbi, M. Zibran and M. Islam, "Insights into Female Contributions in Open-Source Projects," In 20th IEEE/ACM International Conference on Mining Software Repositories (MSR), pp. 357-361, Melbourne, Australia, 2023.
A. Champa, M. Rabbi, F. Eishita and M. Zibran, "Are We Aware? An Empirical Study on the Privacy and Security Awareness of Smartphone Sensors," In 21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA), pp. 287-294, Orlando, FL, USA, 2023.
M. Rabbi, A. Champa and M. Zibran, "Phishy? Detecting Phishing Emails Using ML and NLP," In 21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA), pp. 77-83, Orlando, FL, USA, 2023.

Peer Reviewed Book-Chapters

2025

A. Champa, M. Rabbi, and M. Zibran. "Illustration or Illusion? Reassessing the Use of Machine Learning in Phishing Email Detection." Software Engineering and Management: Theory and Application (vol. 17), Studies in Computational Intelligence (SCI) series, https://doi.org/10.1007/978-3-031-82610-8_9, pp. 137-153, Springer, 2025.
C. Nachuma, A. Champa, M. Rabbi, and M. Zibran. "Analyzing ChatGPT Assistance in Programming." Software Engineering and Management: Theory and Application (vol. 17), Studies in Computational Intelligence (SCI) series, https://doi.org/10.1007/978-3-031-82610-8_13, pp. 203-215, Springer, 2025.
R. Tasnim, F. Eishita, and M. Zibran. "Data Guard: Android Application to Monitor Security Threat in Background Data Transmission." Software Engineering and Management: Theory and Application (vol. 17), Studies in Computational Intelligence (SCI) series, https://doi.org/10.1007/978-3-031-82610-8_5, pp. 67-78, Springer, 2025.

2024

M. Rabbi, A. Champa, and M. Zibran, "Phishy? Detecting Phishing Emails Using Machine Learning and Natural Language Processing," in Software Engineering and Management: Theory and Application: Volume 16, R. Lee, Ed. Cham: Springer Nature Switzerland, 2024, pp. 119–137.
A. Champa, M. Rabbi, F. Eishita, and M. Zibran, "Are We Aware? An Empirical Study on the Privacy and Security Awareness of Smartphone Sensors," in Software Engineering and Management: Theory and Application: Volume 16, R. Lee, Ed. Cham: Springer Nature Switzerland, 2024, pp. 139–158.

Peer Reviewed Workshop Papers

2025

A. Champa, M. Rabbi, F. Eishita and M. Zibran. "Trick or Treat: A Study of Human Detection of Manipulative Tactics in Phishing Emails." In International Workshop on Safety-Security Interaction (SENSEI), Lecture Notes in Computer Science, Vol. 15955, pp. 299-311, https://doi.org/10.1007/978-3-032-02018-5_22, Springer, 2025.

Posters

2025

M. Rabbi, R. Paul, A. Champa, and M. Zibran. "Prolonged Risk: Vulnerability Lifecycles in Maven," Poster in 34th USENIX Security Symposium, Seattle, WA, USA, Aug 13-15, 2025.
A. Champa, M. Rabbi, F. Eishita, and M. Zibran. "Training the Human Firewall: Strengthening Phishing Defense with Visual Cues and Feedback," Poster in 34th USENIX Security Symposium, Seattle, WA, USA, Aug 13-15, 2025.
M. Rabbi, A. Champa, R. Paul, and M. Zibran, "Chasing the Clock: How Fast Are Vulnerabilities Fixed in the Maven Ecosystem?" at International Conference on Software Engineering (ICSE), 2025, Ottawa, Canada.
A. Champa, M. Rabbi, R. Paul, and M. Zibran, "Enhancing Phishing Awareness Through Visual Cues and Feedback-Based Learning," in IEEE Intermountain Engineering, Technology, and Computing Conference (i-ETC), USA, 2025.
C. Nachuma, M. Hossan, A. Turzo, and M. Zibran, "The Dark Side of Software Dependencies," in IEEE Intermountain Engineering, Technology, and Computing Conference (i-ETC), USA, 2025.
M. Rabbi, R. Paul, A. Champa, and M. Zibran, "Exploring Maven Ecosystem Vulnerabilities and Delays," in IEEE Intermountain Engineering, Technology, and Computing Conference (i-ETC), USA, 2025.
C. Nachuma, M. Hossan, A. Turzo, and M. Zibran, "Assessing Security Risks in Software Dependencies: A Quantitative Study of the Maven Ecosystem," at Research and Creative Works Symposium 2025, Graduate School, ISU, USA.
A. Champa, M. Rabbi, F. Eishita, and M. Zibran, "See, Learn, Act: Visual Cues in Learning to Detect Phishing Attempts," at Research and Creative Works Symposium 2025, Graduate School, ISU, USA.
M. Rabbi, R. Paul, A. Champa, and M. Zibran, "From Discovery to Fix: The Journey of Software Vulnerabilities," at Research and Creative Works Symposium 2025, Graduate School, ISU, USA. [Best Oral Presentation Award]

2024

C. Nachuma, A. Champa, M. Rabbi, and M. Zibran, "ChatGPT in Aiding Software Development: An Empirical Study," at i-ETC conference 2024, Utah, USA. [Best Poster Award]
A. Champa, M. Rabbi, and M. Zibran, "Crafting the Shield Against Email Phishing with Curated Datasets," at i-ETC conference 2024, Utah, USA.
M. Rabbi, A. Champa, and M. Zibran, "Evaluating the Code Quality and Security of AI-generated Python Code," at i-ETC conference 2024, Utah, USA.
A. Champa, M. Rabbi, and M. Zibran, "Crafting the Shield: Curated Email Datasets for Phishing Detection Using Machine Learning," at Research Symposium 2024, Graduate School, ISU, USA.
M. Rabbi, A. Champa, and M. Zibran, "Insights into AI-Generated Python Code: Quality and Security Analysis," at Research Symposium 2024, Graduate School, ISU, USA.
C. Nachuma, A. Champa, M. Rabbi, and M. Zibran, "Insights into the Use of ChatGPT in Programming," at Research Symposium 2024, Graduate School, ISU, USA. [Best Oral Presentation Award]

2023

A. Champa, M. Rabbi, and M. Zibran. "Insights into Gender-wise Contributions in Software Development Projects," Poster in Graduate Research Symposium at the Idaho State University, USA, 2023.
M. Rabbi, A. Champa, and M. Zibran. "Phishing Email Detection Using Machine Learning and Natural Language Processing," Poster in Graduate Research Symposium at the Idaho State University, USA, 2023.

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