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
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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