highlighted projects
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RetroV
Robotic vehicles (as known as drones) are facing various threats of cyber-physical attacks that exploit their security vulnerabilities. RetroV develops automated analysis tools to find such vulnerabilities in existing robotic vehicle systems retrospectively and retrofits their design against advanced cyber-physical attacks.
AI Vault
The AI Vault project designs and develops a new trusted execution environment tailored to run artificial intelligence and machine learning programs on modern AI platforms (e.g., cloud and embedded devices) while providing strong data confidentiality and high efficiency.
PeriShield
The PeriShield project analyzes the security of various types of peripheral devices and it develops cutting-edge tools to detect/prevent malicious peripherals.
CLUE
The CLUE project develops an infrastructure to detect and diagnose system anomalies in enterprise systems. These anomalies include stealthy malware and other types of hidden system anomalies. CLUE provides a diverse set of tools to find and understand such anomalies with minimal disruption to the target system.
CAFE
Cloud Application Function Enclave (CAFE) is an end-to-end framework for confidential distribution and execution of cloud applications. Attackers with a reverse-engineering capability may steal or manipulate sensitive application logic. CAFE prevents such attempts using hypervisor- and hardware-based techniques.
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research areas
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courses and seminar
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recent publications
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Detecting Malware Injection with Program-DNS Behavior
Yixin Sun,
Kangkook Jee,
Suphannee Sivakorn,
Zhichun Li,
Cristian Lumezanu,
Lauri Korts-Pàˆrn,
Zhenyu Wu,
Junghwan (John) Rhee,
Chung Hwan Kim,
Mung Chiang, and
Prateek Mittal
In EuroS&P 2020 [
pdf ::
bibtex
]
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