Yin Pan
Professor
Department of Cybersecurity
Golisano College of Computing and Information Sciences
Office Mailing Address
152 Lomb Memorial Drive Rochester, NY 14623
Yin Pan
Professor
Department of Cybersecurity
Golisano College of Computing and Information Sciences
Education
BS, MS, Shanghai Normal University (China); MS, Ph.D., State University of New York at Binghamton
Bio
Yin Pan is a Professor in the Computing Security department. She received her Ph.D. in Systems Science and M.S. degree in Computer Science from Binghamton University. Dr. Pan holds four US patents in the areas of Network Quality of Services, Voice over IP and Artificial Intelligence. Since joining RIT in 2002, Dr. Pan has been actively involved in the IT security area, especially in security audits and computer forensics. Her current research interests include game-based digital forensics and memory-based malware detection using machine learning. She has published over 45 papers and presentations in research conferences and journals. She received grants from NSF, US Air Force Research Lab, and RIT. Dr. Pan teaches both undergraduate and graduate courses in digital forensics.
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Published Conference Proceedings
Willis, Peter, et al. "New Techniques to Route in Folded-Clos Topology Data Center Network." Proceedings of the International Conference for High-Performance Computing, Networking, Storage, and Analysis. Ed. Conference Proceeding. Atlanta, Georgia: n.p., 2024. Web.
Willis, Peter, et al. "A Novel Frame Forwarding Algorithm for Switched Networks." Proceedings of the IEEE 47th Conference on Local Computer Networks. Ed. none. Edmonton, Canada: n.p., 2022. Web.
Mosli, Rayan, et al. "They Might NOT Be Giants: Crafting Black-Box Adversarial Examples Using Particle Swarm Optimization." Proceedings of the ESORICS 2020. Ed. N/A. Virtual, Virtual: n.p., 2020. Print.
Peer Reviewed/Juried Poster Presentation or Conference Paper
Pan, Yin, Sumita Mishra, and Micheal Yacci. "Assessing the Modular-based Digital Forensics Game for Entry Level Students." Proceedings of the ASEE Annual Conference & Exposition. Ed. None. Salt Lake City, Utah: n.p..
Mosli, Rayan, Bo Yuan, and Yin Pan. "On the Viability of Data Collection Using Google Rapid Response for Enterprise-level Malware Research." Proceedings of the Digital Forensics Workshop (DFRWS). Ed. None. Rhode Island, Providence: n.p..
Shows/Exhibits/Installations
Pan, Yin. Associate Professor. By Ryan McGlinn. 22 Oct. 2015. 2015 ATE Principal Investigators Conference, Washington DC. Exhibit.
Pan, Yin. Gamified Digital Forensics Course Modules for Entry-Level Students Demonstration. By Sumita Mishra and David Schwartz. May 2015. the 24th Annual Conference on Instruction & Technology (CIT 2015), SUNY Geneseo. Performance.
Book Chapter
Pan, Yin, Bo Yuan, and Sumita Mishra. "Network Security Auditing." Network Security, Administration and Management: Advancing Technologies and Practices. Ed. Dulal Chandra Kar and Mahbubur Rahman Syed. Hershey, PA: IGI Global, 2011. 131-157. Print.
Currently Teaching
CISC-807
Teaching Skills Workshop
2 Credits
Teaching is a valuable and desirable skill for PhD students. This workshop course provides an introduction to the concepts and skills needed for quality teaching in higher education. Students will be provided with lecture, reading, and class activities centered on building skills in educational analysis, design, and assessment. Prerequisites: Limited to students in the Ph.D. program. Class 2, Credit 2 (F)
CSEC-464
Computer System Forensics
3 Credits
This course focuses on the fundamental incident response and computer forensics procedures for computer systems. Students will follow the forensics procedures and use forensically-sound tools to uncover the activities of computer users (deleted and hidden files, cryptographic steganography, illegal software, etc.). Students will also technologies to gather and preserve this evidence to ensure admissibility in court.
CSEC-730
Advanced Computer Forensics
3 Credits
This course provides students with the latest techniques and methods needed for extracting, preserving and analyzing volatile and nonvolatile information from digital devices. Students will gain exposure to the spectrum of available computer forensics tools along with developing their own tools for “special need” situations. The core forensics procedures necessary for ensuring the admissibility of evidence in court, as well as the legal and ethical implications of the process, will be covered on both Unix and Windows platforms, under multiple file systems. Therefore, students must possess a knowledge of available filesystems on both platforms.
CSEC-799
Independent Study
1 - 3 Credits
The graduate independent study offers students the opportunity to investigate a topic not covered in an available course in the MS program in conjunction with a faculty sponsor. Working cooperatively, the faculty sponsor and the student draft a proposal of the work to be completed, the deliverables expected from the student, the number of credits assigned, and the means by which the student’s work will be evaluated. The proposal must be approved by the graduate program director before a student can be registered for independent study.