Bio

He obtained a Computer Science Ph.D. degree at the Luddy School of Informatics, Computing, and Engineering on March 27th, 2022. His research focused on reverse-engineering the security of IoT devices and building an intelligent dynamic analysis tool on top of existing static/dynamic analysis security tools. His Ph.D. thesis was based on developing a phishing prevention solution by fingerprinting visiting websites with machine learning processes of the collected features of the IoT network traffic.

Projects


Recent Publications

  • Vafa Andalibi, Jayati Dev, DongInn Kim, Eliot Lear, and L Jean Camp. Is Visualization Enough? Evaluating the Efficacy of MUD-Visualizer in Enabling Ease of Deployment for Manufacturer Usage Description (MUD). In Annual Computer Security Applications Conference, pages 337--348, December 2021.
    Keywords: IoT, MUD, MUD-Visualizer. [bibtex-entry]

  • Vafa Andalibi, Jayati Dev, DongInn Kim, Eliot Lear, and Jean Camp. Making Access Control Easy in IoT. In IFIP International Symposium on Human Aspects of Information Security & Assurance, June 2021.
    Keywords: IoT, MUD, MUD-Visualizer. [bibtex-entry]

  • Vafa Andalibi, Eliot Lear, DongInn Kim, and Jean Camp. On the Analysis of MUD-Files' Interactions, Conflicts, and Configuration Requirements Before Deployment. In 5th EAI International Conference on Safety and Security in Internet of Things, SaSeIoT, May 2021. Springer.
    Keywords: IoT, MUD, MUD-Visualizer. [bibtex-entry]

  • Personal Website / CV

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