I am a software engineer and security researcher working on systems security, vulnerability research, program analysis, and AI-assisted software and security analysis. Previously, I was an Assistant Professor in the School of Computing at Montclair State University. I received my Ph.D. in Computer Science from Rutgers, The State University of New Jersey, where I worked with Prof. Vinod Ganapathy.
Areas of Interest
Systems Security · Vulnerability Research · Fuzzing · Mobile/IoT Security · Program Analysis · AI for Security
Current Projects
LLM-Assisted Fuzzing Research
Research on automated fuzz-target generation for C/C++ software using LLM-guided harness generation, coverage feedback, and iterative build/runtime repair.
Binary Vulnerability Research
Research on extending fuzzing workflows to binary-only software using program analysis, emulation/instrumentation, and automated fuzz-target generation.
HausNY
A full-stack rental search and comparison platform built with Next.js, Django, PostgreSQL, and cloud infrastructure.
Selected Publications
Evaluating Lightweight IDS Models for CAN Bus Security on Embedded Platforms.
Naman Sharadkumar Jain, Inseo Hwang, Junggab Son, Daeyoung Kim
In the 2026 IEEE 103rd Vehicular Technology Conference: VTC2026-Spring, June 2026.
Query-Based Fingerprinting of Text-to-Image Large Language Models.
Saketh Ram Josyabhatla, Junggab Son, Daeyoung Kim
In the 12th IEEE International Conference on Big Data Security on Cloud (IEEE BigDataSecurity 2026), May 2026.
Evaluating Small Language Models for Intrusion Detection on Automotive Embedded Platforms.
Islam Salah, Junggab Son, Stefan Robila, Daeyoung Kim
In the Proceedings of the ACM International Conference on Research in Adaptive and Convergent Systems, November 2025.
Detecting Plagiarized Mobile Apps using API Birthmarks.
Daeyoung Kim, Amruta Gokhale, Vinod Ganapathy, Abhinav Srivastava
Journal of Automated Software Engineering, Springer, December 2016.
Regulating ARM TrustZone Devices in Restricted Spaces.
Ferdinand Brasser, Daeyoung Kim, Christopher Liebchen, Vinod Ganapathy, Liviu Iftode, Ahmad-Reza Sadeghi
In the Proceedings of the ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), June 2016, Acceptance: 31/197 (15.7%).