Naresh Kshetri

Lecturer

Department of Cybersecurity

Golisano College of Computing and Information Sciences

naresh.kshetri@rit.edu

Office Location

GOL-2781

Office Mailing Address

152 Lomb Memorial Drive Rochester, NY 14623

Naresh Kshetri

Lecturer

Department of Cybersecurity

Golisano College of Computing and Information Sciences

Bio

Naresh Kshetri received the MCA (Computer Applications) degree from University of Allahabad in 2014, MS (Cybersecurity) from Webster University in 2017, and the PhD (Computer Science with concentration in Cybersecurity) from the University of Missouri - St. Louis in 2022. Dr. Kshetri has taught several courses in Cybersecurity and Computer Science at both undergraduate and graduate levels. He joined RIT as a full time faculty of Cybersecurity in the Fall 2024. He has over ten years of experience in teaching and research. His interests include cybersecurity, cyber defense, and blockchain technology. For a complete list of Dr. Kshetri's teaching and publications, please visit https://sites.google.com/view/nareshkshetri.

naresh.kshetri@rit.edu

Personal Links

Personal Website

Google Scholar

Select Scholarship

* Journal Paper

[J2] J. Hutson, N. Kshetri, G. Banerjee, K. Odenwald, J. Ratican “Architecting the Metaverse: Blockchain and the Financial and Legal Regulatory Challenges of Virtual Real Estate” Journal of Intelligent Learning Systems and Applications, 2023, Volume: 15, No.: 1, Page: 1-23, Scientific Research Publishing, DOI: https://doi.org/10.4236/jilsa.2023.151001, Feb 2023

[J1] N. Kshetri, C. S. Bhushal, P. S. Pandey, Vasudha, “BCT-CS: Blockchain Technology Applications for Cyber Defense and Cybersecurity: A Survey and Solutions” IJACSA, Vol. 13, No.11, pp. 364-370, DOI: https://dx.doi.org/10.14569/IJACSA.2022.0131140, Dec 2022

* Conference Proceedings

[C2] Kshetri, N., Rahman, M. M., Sayeed, S. A., & Sultana, I. (2024, May). cryptoRAN: A review on cryptojacking and ransomware attacks wrt banking industry-threats, challenges, & problems. In 2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT) (pp. 523-528). IEEE. https://doi.org/10.1109/InCACCT61598.2024.10550970

[C1] Kshetri, N., Kumar, D., Hutson, J., Kaur, N., & Osama, O. F. (2024, April). algoXSSF: Detection and analysis of cross-site request forgery (XSRF) and cross-site scripting (XSS) attacks via Machine learning algorithms. In 2024 12th International Symposium on Digital Forensics and Security (ISDFS) (pp. 1-8). IEEE. https://doi.org/10.1109/ISDFS60797.2024.10527278

Currently Teaching

CSEC-140

Introduction to Cybersecurity

3 Credits

This course will introduce many fundamental cybersecurity concepts. The course will teach students to think about information systems using an adversarial mindset, evaluate risk to information systems, and introduce controls that can be implemented to reduce risk. Topics will include authentication systems, data security and encryption, risk management and security regulatory frameworks, networking and system security, application security, organizational and human security considerations, and societal implications of cybersecurity issues. These topics will be discussed at an introductory level with a focus on applied learning through hands-on virtual lab exercises.