Biography
Dr. Mahdieh Zabihimayvan is an assistant professor in the department of Computer Science at Central Connecticut State University. She received PhD in Computer Science from Wright State University in May 2020.
Her doctoral dissertation is entitled "New Perspectives About The Tor Ecosystem: Integrating Structure With Information" and contributes insights into the logical structure of Tor, the types of information hosted on this network, and the interplay between its structure and information.
She works on the applications of artificial intelligence for cybersecurity with the aim of improving proactive cyber threat intelligence applications in protecting privacy of Internet users.
She is particularly interested in applied machine learning and characterization, measurements, and analytics for complex cyber-security and socio-technical systems.
Publications
Year | |
A Daliri, N Mahdavi, M Zabihimayvan, AN Baranghar, N Zaeimzadeh Neurocomputing, 131821 | 2025 |
N Mahdavi, A Daliri, M Zabihimayvan, Y Yaghooti, MM Mir, P Ghazanfari, ... BioData mining 18 (1), 72 | 2025 |
F Amin, A Shaban, M Zabihimayvan Intelligent Systems Conference, 646-657 | 2025 |
Statistic deviation mode balancer (SDMB): A novel sampling algorithm for imbalanced data M Alimoradi, R Sadeghi, A Daliri, M Zabihimayvan Neurocomputing 624, 129484 | 2025 |
Security, information, and structure characterization of Tor: a survey M Zabihimayvan, R Sadeghi, D Doran Telecommunication Systems 87 (1), 239-255 | 2024 |
A Daliri, M Alimoradi, M Zabihimayvan, R Sadeghi Expert systems with applications 244, 122931 | 2024 |
A Daliri, M Khoshbakhti, MK Samadi, M Rahiminia, M Zabihimayvan, ... Artificial Intelligence and Social Computing | 2024 |
Vector Result Rate (VRR): A Novel Method for Fraud detection in mobile payment systems A Daliri, M Zabihimayvan, K Saleh Artificial Intelligence and Social Computing 122 (122) | 2024 |
Phishing attack detection: an improved performance through ensemble learning B McConnell, D Del Monaco, M Zabihimayvan, F Abdollahzadeh, ... International Conference on Artificial Intelligence and Soft Computing, 145-157 | 2023 |
A first look at references from the dark to the surface web world: a case study in Tor M Zabihimayvan, D Doran International Journal of Information Security 21 (4), 739-755 | 2022 |
Focal Loss Improves Performance of High-Sensitivity C-Reactive Protein Imbalanced Classification R Sledzik, M Zabihimayvan 2022 IEEE 35th International Symposium on Computer-Based Medical Systems … | 2022 |
Deep neural classification of darknet traffic M Alimoradi, M Zabihimayvan, A Daliri, R Sledzik, R Sadeghi Artificial intelligence research and development, 105-114 | 2022 |
Interaction of structure and information on tor M Zabihimayvan, R Sadeghi, D Kadariya, D Doran International Conference on Complex Networks and Their Applications, 296-307 | 2020 |
WL Romine, NL Schroeder, J Graft, F Yang, R Sadeghi, M Zabihimayvan, ... Sensors 20 (17), 4833 | 2020 |
William L. Romine*, Noah L. Schroeder 2, Josephine Graft, Fan Yang 3, Reza Sadeghi 4 M Zabihimayvan, D Kadariya, T Banerjee Sensors 20, 4833 | 2020 |
New Perspectives About The Tor Ecosystem: Integrating Structure With Information M Zabihimayvan Wright State University | 2020 |
A first look at references from the dark to surface web world M Zabihimayvan, D Doran arXiv preprint arXiv:1911.07814 | 2019 |
Fuzzy rough set feature selection to enhance phishing attack detection M Zabihimayvan, D Doran 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6 | 2019 |
A Broad Evaluation of the Tor English Content Ecosystem M Zabihimayvan, R Sadeghi, D Doran, M Allahyari The 11th ACM Conference on Web Science, 333-342 | 2019 |
Detection of Web site visitors based on fuzzy rough sets J Hamidzadeh, M Zabihimayvan, R Sadeghi Soft Computing 22 (7), 2175-2188 | 2018 |
