Academic Research Index

# Academic Research Index

AI Summary

Purpose:

Entry point to 김현욱's (Hyunwook Kim) Sejong University M.S. research record: graduate work on IoT/embedded firmware fuzzing and vulnerability detection (~2018–2021), including the thesis, two published papers (FIRM-COV, UART acquisition), and two co-invented patents (IoTFirmFuzz, IoTHybridFuzzer).

Key points:

Degree: M.S. in Information Security (정보보호학과), Sejong University Graduate School; advisor 윤주범 (Joobeom Yun). Thesis submitted December 2020.
Research line: coverage-guided greybox fuzzing of emulated IoT firmware (combined/process emulation, PSO mutation optimization, hybrid fuzzing + concolic execution) plus hands-on UART firmware acquisition.
This section is the durable academic knowledge base; verbatim extracts live under ai/sources/academic/.

Relevant when:

Summarizing the owner's academic background, IoT/embedded firmware fuzzing expertise, or IP/patents.
Producing portfolio, CV, or report content about graduate research.

Do not read full document unless:

You need exact metrics, claim wording, formulas, dates, or inventor lists — open the specific document below, or its source extract under ai/sources/academic/.

Linked documents:

Several per-document items remain Needs confirmation (CVE IDs, patent registration numbers, Patent 2 final outcome) — see each document's Open Questions.

This section is 김현욱's Sejong University M.S. research record, covering IoT/embedded firmware fuzzing and vulnerability detection (~2018–2021).

[[master-thesis]] — M.S. thesis "EF-Fuzz": efficient coverage-guided fuzzing for embedded systems using combined emulation, with an energy-allocation scheduler and PSO-driven mutator scheduler (Sejong University, submitted Dec 2020).
[[firm-cov]] — FIRM-COV: high-coverage greybox fuzzer for IoT firmware via optimized process emulation; published in IEEE Access Vol. 9, 2021.
[[iot-firmware-fuzzing]] — Conceptual backbone explaining IoT firmware fuzzing: greybox/coverage-guided fuzzing taxonomy and the emulation strategies that make firmware fuzzable.
[[iotfirmfuzz]] — IoTFirmFuzz invention: efficient coverage-guided firmware fuzzing via combined emulation + PSO mutation optimization; basis of granted Patent 1 (10-2020-0089416).
[[iothybridfuzzer]] — IoTHybridFuzzer invention: hybrid fuzzing + symbolic/concolic execution for firmware vulnerability detection; basis of filed Patent 2 (10-2021-0040963).
[[uart-firmware-acquisition]] — 2019 KIISC Summer Conference paper on acquiring embedded-device firmware via UART: 5 vendor defenses + 7 connection/bypass methods, validated on a D-Link DIR-842 router.
[[patents]] — Authoritative record of the two firmware-fuzzing patents (IoTFirmFuzz granted, IoTHybridFuzzer filed) co-invented at Sejong University.