Dr. Kyoungwon Suh
Professor of Computer Science
School Information Technology
Office
Old Union - OU 205
Office Phone
Email
- About
- Education
- Awards & Honors
- Research
Biography
Kyoungwon Suh received the B.S. and M.S. degrees in computer engineering from Seoul National University, Seoul, Korea, in 1991 and 1993, respectively, the M.S. degree in computer science from Rutgers University, New Brunswick, NJ, in 2000, and the Ph.D. degree in computer science from the University of Massachusetts, Amherst, in 2007. He is currently a Professor of Computer Science with Illinois State University, Normal. His research interests include network measurement/analysis/inference, wireless networks, smart handheld devices, content distribution networks, big data analysis, privacy, and security.
Current Courses
225.001Computer Organization
383.001Principles Of Operating Systems
383.002Principles Of Operating Systems
Teaching Interests & Areas
computer networks, distributed systems, operating systems, computer organization
Research Interests & Areas
Computer Networks and Distributed Systems: network measurement, analysis, and inference, wireless networks, smart handheld devices, content distribution networks; big data analysis; privacy and security
Ph D Computer Science
UNIVERSITY OF MASSACHUSETTS at AMHERST
Amherst,MA
MS Computer Science
Rutgers University
Piscataway, NJ
MS Computer Engineering
Seoul National University
Seoul, Korea
BS Computer Engineering
Seoul National University
Seoul, Korea
Student Best Paper Award
The 12th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
2016
IT Research Award
School of Information Technology, ISU
2014
Listed in Marquis Who's Who in America
Marquis Who's Who
2011
Listed in Marquis Who's Who in America
Marquis Who's Who
2010
Caterpillar (CAT) Scholar Award
Illinois State University/Caterpillar
2009
Best paper award
ACM/SPIE MMCN conference
2008
Conference Proceeding
Han, H., Lim, S., Suh, K., Park, S., Cho, S., & Park, M. Enhanced Android Malware Detection: An SVM-based Machine Learning Approach. 2020 IEEE International Conference on Big Data and Smart Computing (2020)
Jihyeon Park, Munyeong Kang, Seong-je Cho, Hyoil Han and Kyoungwon Suh, Analysis of Permission Selection Techniques in Machine Learning-based Malicious App Detection, The 4th IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2020), USA, 2020. (Virtual held)
Liang, J., Suh, K., & Yu, C. Delay-Conscious Defense against Fingerprinting Attacks. The Nineteenth International Conference on Networks (ICN 2020) (2020)
Lim, K., Han, S., Cho, S., Choi, J., Han, H., Suh, K., & Kim, H. A New Anti-Reverse Engineering for Android Apps Using Application-level Virtualization and Code Packing. The International Conference on Next Generation Computing (ICNGC 2019) (2019)
Nazaryan, L., Jin, R., Yue, C., Wang, B., Suh, K., & Kiayias, A. Securely Outsourcing Cookies to the Cloud via Private Information Retrieval. The 12th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (2016)
Journal Article
Jung, J., Kim, H., Cho, S., Han, S., & Suh, K. Efficient Android Malware Detection Using API Rank and Machine Learning. Journal of Internet Services and Information Security (JISIS) 9 (2019)
Yue, C., Jin, R., Suh, K., Qin, Y., Wang, B., & Wei, W. LinkForecast: Cellular Link Bandwidth Prediction in LTE Networks. IEEE Transactions on Mobile Computing (2018)
Zeng, W., Cote, J., Chen, X., Kim, Y., Wei, W., Suh, K., Wang, B., & Shi, Z. Delay monitoring for wireless sensor networks: An architecture using air sniffers. Elsevier Ad Hoc networks journal 13 (2014): 549-559.
Wei, W., Jaiswal, S., Kurose, J., Towsley, D., Suh, K., & Wang, B. Identifying 802.11 Traffic from Passive Measurements Using Iterative Bayesian Inference. IEEE/ACM Transactions on Networking 20.2 (2012): 14.
Other
Geunha You, Seong-je Cho, Hyoil Han, and Kyoungwon Suh, De-Obfuscating Android Apps Obfuscated by ProGuard and Obfuscapk The 6th International Conference on Next Generation Computing 2020 (ICNGC 2020), Korea, 2020. (Virtually held)
Geunha You, Seong-je Cho, Hyoil Han, and Kyoungwon Suh, Performance Comparison between R8 Compiler and ReDex in Code Optimization of Android Apps, The 6th International Conference on Next Generation Computing 2020 (ICNGC 2020), Korea, 2020. (Virtual held)
Suh, K. Android Malware Detection based on Useful API Calls and Machine Learning. IEEE AIKE (ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING) ABC workshop 2018 (2018)
Software
Im, W., Lee, K., Suh, K., & Tulloch, D. Ebola Mapping: Understanding and analyzing what people are saying about Ebola (2014)
Presentations
Characterization of RRC state machines of WCDMA/HSPA networks and QoS improvements in smartphone applications. UKC Conference 2014. UKC. (2014)
When University Faculty met Software Engineer from Industry. 14th KOCSEA Technical Symposium. KOCSEA (Korean Computer Scientists and Engineers Association in America). (2013)
Network Performance of Smart Mobile Handhelds in a University Campus WiFi Network. 13th KOCSEA Technical Symposium. KOCSEA (Korean Computer Scientists and Engineers Association in America). (2012)
Grants & Contracts
IT Research Award. School of Information Technology at ISU. Illinois State University. (2014)
2019-02-25T14:52:54.206-06:00
2019