WonWoo Jang's Official Homepage

WonWoo Jang
Ph.D. Course Student (September 2020 - Present)
Network Research Lab.
Department of Information Security
School of Cybersecurity
Korea University
Seoul, Republic of Korea

Academic Advisor: Professor Wonjun Lee
Academic Backgrounds

M.Eng. in Cybersecurity, School of Cybersecurity, Korea University, Seoul, Republic of Korea (Mar. 2018 - Aug. 2020)
- Dissertation Title: Detecting Wireless Steganography with Wavelet Analysis
B.S. in Computer Major, College of Computing, Hanyang University ERICA Campus, Sangnok-gu, Ansan, Gyeonggi-do, Republic of Korea (Mar. 2014 - Feb.2018)

Research Interests

Network Security
Wireless Networks
Wireless Security
Jamming Attacks
Backscatter Network
Internet of Things
Trusted Execution Environment(TEE)

Publications

International Journal Publications
- D. Lee, D. Kim, M. Ahn,W. Jang and W. Lee, "Cy-Through: Toward a Cybersecurity Simulation for Supporting Live, Virtual, and Constructive Interoperability," Accepted for publication in IEEE ACCESS, January 2021. (SCI 2019 I/F: 3.745; Top 22.44% Impact Factor in Computer Science, Infomration Systems Category) [Link]
- W. Jang and W. Lee, "Detecting Wireless Steganography with Wavelet Analysis," Accepted for publication in IEEE Wireless Communications Letters (WCL), October 2020. (SCI 2019 I/F: 4.660; Top 16.67% Impact Factor in Computer Science, Infomration Systems Category) [Link]
- W. Jang and W. Lee, "Towards Ambient Backscatter as an Anti-jamming Solution for IoT Devices," in Proceedings of the 39th IEEE Conference on Computer Communications (IEEE INFOCOM'2020) - Poster Session, Toronto, Canada, July 2020. [Link]
- C. Shao, W. Jang, H. Park, J. Sung, Y. Jung, and W. Lee, "Phantom Eavesdropping with Whitened RF Leakage," IEEE Wireless Communications Letters, Vol. 9, No. 2, pp. 232-235, February 2020. (SCI 2018 I/F: 3.546; Top 21.29% Impact Factor in Computer Science, Information Systems Category) [Link]
Domestic Conference Publication
- M. Joo, W. Jang, and W. Lee, "Deep Reinforcement Learning based Multipath Packet Scheduling (심층 강화학습 기반 다중경로 패킷 스케줄링 기법 연구)," Journal of KIISE: Information Networking, Vol. 46, No. 7, pp. 714-719, July 2019.(Selected as an Outstanding Paper Award
- M. Joo, W. Jang, and W. Lee, "Deep Reinforcement Learning based Packet Scheduler in Multipath Transport (다중경로 환경에서 심층 강화학습 기반 패킷 스케줄링 기법 연구)," in Proceedings of the KIISE Korea Software Congress 2018 (KIISE KSC2018), Pyeongchang, Republic of Korea, December 2018. (Selected as an Outstanding Paper Award)
Patents & Software Registrations
- W. Lee, M. Joo, and W. Jang, "System for Multipath Packet Scheduling Method Therefor (심층 강화학습 기반 다중경로 패킷 스케줄링 방법)," Korea Patent Application Number. 10-2019-0145873, November 14, 2019.
- W. Lee, M. Joo, and W. Jang, "Deep Reinforcement Learning Program for Packet Scheduling (패킷 스케줄링 지원형 심층 강화학습 프로그램)," Software Registration No. C-2019-001477, January 14, 2019.
- W. Lee, M. Joo, and W. Jang, "Multipath Packet Scheduling Program based on Deep Reinforcement Learning (심층 강화학습 기반 다중경로 패킷 스케줄링 프로그램)," Software Registration No. C-2019-001476, January 14, 2019.

Honors & Awards
- Outstanding Paper Award, Journal of KIISE: Information Networking, KIISE, July 2020.
  ※ Paper: Deep Reinforcement Learning based Multipath Packet Scheduling (심층 강화학습 기반 다중경로 패킷 스케줄링 기법 연구)
- Outstanding Paper Award, Korea Software Congress 2018, KIISE, December 2018.
  ※ Paper: Reinforcement Learning based Packet Scheduler in Multipath Transport (다중경로 환경에서 심층 강화학습 기반 패킷 스케줄링 기법 연구)
Contact Information
- E-mail: wwjang AT korea.ac.kr

Last Update: 15 January, 2021.