Bio

He is a PhD student in Computer Science. His current research focuses on the reverse engineering for the security of IoT devices and building an intelligent dynamic analysis tool on the top of existing static/dynamic analysis security tools. His PhD thesis is based on developing a phishing prevention solution by fingerprinting visiting websites with machine learning processes of the collected features.

Projects


Recent Publications

  • DongInn Kim, Vafa Andalibi, and L Jean Camp. Fingerprinting Edge and Cloud Services in IoT. In Systematic Approaches to Digital Forensic Engineering, City University of New York (CUNY), New York City, May 2020. IEEE Computer Society.
    Keywords: Fingerprinting, IoT. [bibtex-entry]

  • Vafa Andalibi, DongInn Kim, and L. Jean Camp. Throwing MUD into the FOG: Defending IoT and Fog by expanding MUD to Fog network. In 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19), Renton, WA, July 2019. USENIX Association.
    Keywords: MUD, IoT. [bibtex-entry]

  • DongInn Kim and L Jean Camp. Block-Pi: Defending against Man In The Middle (MITM) Attacks at the Edge. Society for Risk Analysis, SRA 2019, Buffalo NY, June 2019.
    Keywords: Phishing. [bibtex-entry]

  • Personal Website / CV

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