Central Connecticut State University (CCSU)
USA
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
Fuzzy rough feature selection to enhance phishing attack detection
A soft computing approach for benign and malicious web robot detection
Statistical Deviation Model Balance (SDM): A novel sampling algorithm for imbalanced data
Vector Result Rate (VRR): A Novel Method for Fraud Detection in Mobile Payment Systems
Phishing attack detection: an improved performance through ensemble learning
A first look at references from the dark to the surface web world: a case study in Tor
Security, information, and structure characterization of Tor: a survey
A first look at references from the dark to surface web world
Focal Loss Improves Performance of High-Sensitivity C-Reactive Protein Imbalanced Classification
New Perspectives About the Tor Ecosystem: Integrating Structure With Information