Personal profile
University profile
Dr. Daeyoung Kim is assistant professor in the Department of Computer Science at Montclair State University. He received his Ph.D. in Computer Science from Rutgers University, New Brunswick in 2019. His research interests span the broad area of computer security, with a focus on mobile systems and applications.
Research interests
Span the broad area of computer security, with a focus on mobile systems and applications.
Scholarly Interests
Cybersecurity
Mobile systems and applications
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
Evaluating Small Language Models for Intrusion Detection on Automotive Embedded Platforms
Salah, I., Son, J., Robila, S. & Kim, D., 4 Feb 2026, 2025 Research in Adaptive and Convergent Systems, RACS 2025. Association for Computing Machinery, Inc, 24. (2025 Research in Adaptive and Convergent Systems, RACS 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Harmonized All-Ways Security Surveillance and Disaster Prevention in Smart Eco-Cities
Kim, H., Ben-Othman, J. & Kim, D., 15 Apr 2024, In: IEEE Internet of Things Journal. 11, 8, p. 14206-14215 10 p.Research output: Contribution to journal › Article › peer-review
9 Link opens in a new tab Scopus citations -
Recent Advances in Smart Contracts: A Technical Overview and State of the Art
Kemmoe, V. Y., Stone, W., Kim, J., Kim, D. & Son, J., 2020, In: IEEE Access. 8, p. 117782-117801 20 p., 9125932.Research output: Contribution to journal › Article › peer-review
Open Access92 Link opens in a new tab Scopus citations -
Rethinking the weakness of stream ciphers and its application to encrypted malware detection
Stone, W., Kim, D., Kemmoe, V. Y., Kang, M. & Son, J., 2020, In: IEEE Access. 8, p. 191602-191616 15 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Link opens in a new tab Scopus citations -
Detecting plagiarized mobile apps using API birthmarks
Kim, D., Gokhale, A., Ganapathy, V. & Srivastava, A., 1 Dec 2016, In: Automated Software Engineering. 23, 4, p. 591-618 28 p.Research output: Contribution to journal › Article › peer-review
14 Link opens in a new tab Scopus citations