Producción científica por año
Producción científica por año
Perfil personal
Biography
Iman Vakilinia (Senior Member, IEEE) received a Ph.D. degree in computer science and engineering from the University of Nevada Reno, Reno, NV, USA, in 2019. He is currently an Associate Professor with the School of Computing, University of North Florida, Jacksonville, FL, USA. His research interests include cybersecurity, and game-theory. He has developed and taught various cybersecurity courses including introduction to computer security, intrusion detection systems, cryptography, computer security policies and disaster recovery, information assurance, and threat intelligence.
Documentos relacionados
Cuantificación de educación / académica
Information Technology, MS
Computer Science and Engineering, PhD, University of Nevada, Reno
-
Adaptive Row Activation and Refresh a Hybrid Approach to Mitigate RowHammer
Demirseren, N. U. & Vakilinia, I., oct 17 2024, 2024 IEEE 15th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2024. Paul, R. & Kundu, A. (eds.). p. 471-476 6 p. (2024 IEEE 15th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2024).Producción científica: Literary contribution
-
Analyzing Cryptocurrency Social Media for Price Forecasting and Scam Detection
Krishnan, L. P., Vakilinia, I., Reddivari, S. & Ahuja, S., abr 29 2024, 12th International Symposium on Digital Forensics and Security, ISDFS 2024. Varol, A., Karabatak, M., Varol, C. & Tuba, E. (eds.). (12th International Symposium on Digital Forensics and Security, ISDFS 2024).Producción científica: Literary contribution
-
Crowdsensing the Speed Violation Detection with Privacy Preservation
Mullapudi, S. V., Vakilinia, I., Prodanoff, Z. G. & Jin, W., 2024, 2024 IEEE 100th Vehicular Technology Conference, VTC 2024-Fall - Proceedings. p. 1-6 6 p. (IEEE Vehicular Technology Conference).Producción científica: Literary contribution
-
Handling Imbalanced Data for Detecting Scams in Ethereum Transactions Using Sampling Techniques
Krishnan, L. P., Vakilinia, I., Reddivari, S. & Ahuja, S., abr 29 2024, 12th International Symposium on Digital Forensics and Security, ISDFS 2024. Varol, A., Karabatak, M., Varol, C. & Tuba, E. (eds.). (12th International Symposium on Digital Forensics and Security, ISDFS 2024).Producción científica: Literary contribution
-
Analyses of Automated Malicious Internet Traffic Using Open-Source Honeypots
Bythwood, W., Bentley, J. & Vakilinia, I., 2023, SoutheastCon 2023. p. 68-75 8 p. (Conference Proceedings - IEEE SOUTHEASTCON; vol. 2023-April).Producción científica: Literary contribution