Mahdieh Zabihimayvan

M. Zabihimayvan, & Doran, D. (2022). “A first look at references from the dark to the surface web world: a case study in Tor”, International Journal of Information Security, 1-17.

R. Sledzik, M. Zabihimayvan (2022) “Focal Loss Improves Performance of High-Sensitivity C-Reactive Protein Imbalanced Classification”, IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). IEEE.

C2. M. Alimoradi, M. Zabihimayvan, A. Daliri, R. Sledzik, R. Sadeghi (2022) “Deep Neural Classification of Darknet Traffic”, 24th International Conference of the Catalan Association for Artificial Intelligence.

C3. M. Zabihimayvan, R. Sadeghi, D. Kadariya, D. Doran (2021) “Interaction of Structure and Information on Tor”, Complex Networks & Their Applications IX. Studies in Computational Intelligence, 943. Springer.

W. Romine, N. Schroeder, J. Graft, F. Yang, R. Sadeghi, M. Zabihimayvan, D. Kadariya, T. Banerjee (2020), “Using Machine Learning to Train a Wearable Device for Measuring Students’ Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use”, Sensors, 17 (4833).

M. Zabihimayvan, D. Doran (2019) “Fuzzy Rough Set Feature Selection to Enhance Phishing Attack Detection”, IEEE International Conference on Fuzzy Systems, 1-6.

M. Zabihimayvan, R. Sadeghi, D. Doran, M. Allahyari (2019), “A Broad Evaluation of the Tor English Content Ecosystem”, Proceedings of the 10th ACM Conference on Web Science, 333-342.

M. Zabihimayvan, D. Doran (2018), “Some (Non-)Universal Features of Web Robot Traffic”, 52th Annual Conference on Information Sciences and Systems (CISS), IEEE, Princeton University, NJ, US.

M. Zabihimayvan, R. Sadeghi, N. Rude, D. Doran (2017), “A Soft Computing Approach for Benign and Malicious Web Robot Detection”, Expert Systems with applications, 87, 129-140.

J. Hamidzadeh, M. Zabihimayvan, R. Sadeghi (2017), “Detection of Web site visitors based on fuzzy rough sets”, Soft Computing, 22(7), 2175-2188.

M. Zabihimayvan, M. Vafaei Jahan, J. Hamidzadeh (2014), “A Density Based Clustering Approach for Web Robot Detection,” The 4th International IEEE conference on Computer and knowledge Engineering, IEEE.

M. Zabihimayvan, M. Vafaei Jahan, J. Hamidzadeh (2014), “A density-based clustering approach to distinguish between web robot and human requests to a web server,” The ISC International Journal of Information Security, 6(1), 77-89.

M. Zabihimayvan, M. Vafaei Jahan, J. Hamidzadeh (2014), “Fuzzy Inference for Intrusion Detection of Web Robots in Computer Networks,” 45th Annual Iranian Mathematics Conference, In Persian.

M. Zabihimayvan, M. Vafaei Jahan (2014), “An Optimum Markov Clustering Algorithm for Accurate Web Robots Detection,” The 7th International Conference of Iranian Operations Research Society, In Persian.

M. Zabihimayvan, M. Vafaei Jahan (2013), “Web Robot Detection with Fuzzy Inference System Based on Decision Trees,” The Seventh International Iranian Data Mining Conference, In Persian.

Refereed Posters

Vincenzo D’Aria, M. Zabihimayvan (2023), “Neural Networks Implemented through Bio- Nanorobots for the Early Detection and Elimination of Cancer Cells in the Human Body”, 27th annual conference of the Consortium for Computing Sciences in Colleges Northeast Region.

Christopher K. Schmitt, M. Zabihimayvan (2022), “Topic Modeling of Dark Websites on Tor Using Deep Neural Learning,” 26th annual conference of the Consortium for Computing Sciences in Colleges Northeast Region. (Nominated for Undergraduate Research Competition).