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Major research interests

Design of cyber-physical systems (CPS)

We are currently conducting research on modeling, analysis, and control of networked CPS under uncertainty. We mainly focus on improving reliability and robustness of CPS in a provable manner.
- Software defined networking (SDN) for resilient CPS
Software-Defined Networking (SDN) is an emerging architecture that is dynamic, manageable, cost-effective, and adaptable, making it ideal for the high-bandwidth, dynamic nature of today’s applications. This architecture decouples the network control and forwarding functions enabling the network control to become directly programmable and the underlying infrastructure to be abstracted for applications and network services.
In the following SDN structure, Application and Control Layer are managed by software, Infrastructure Layer is composed of actual network equipment, and communication between network control layer and data layer is done through Openflow protocol.
Using SDN, our laboratory researches networks that guarantee network performance in a variety of applications (trains, IoT) and provide flexible responses to network attacks. We design virtual networks using MIninet with open source based SDN controllers such as ONOS and Opendaylight. Also, we build up real testbed and develop algorithm to measure and improve performance of networks using SDN controller and OpenV Switch, an open source multi-layer virtual switch supporting OpenFlow protocol in Raspberry pi. In addition, we are conducting research to flexibly deal with attacks by constructing a network environment for CBTC(Communication-Based Train Control) using actual SDN.
- Control of physical system through wireless sensor network
Existing wireless sensor networks have been used only for collecting information to monitor the state of the environment, but now research is underway to control physical systems through wireless sensor networks.
In wireless sensor-actuator network, there are many issues to control the physical systems through wireless sensors such as real-time network scheduling to decease the delay of the data, optimization of the network to improve control performance.
So we are working on the above research by installing motes capable of radio communication throughout the whole 5th floor in our building, and we are testing the control performance by connecting the physical system with the wireless sensor actuator network.
- Neutralization and Security of UAVs through wireless communication protocol and vulnerabilities analysis
Drone is a representative model of CPS, the theme of the Fourth Industrial Revolution. The security research of drones is very important as it is widely used in many areas.
Micro Air Vehicle Link (MAVLink) is a protocol for communicating with small unmanned devices and their own different internal components. We research the vulnerabilities of this protocol issue or implementation issue and how to find the solution.
To do this, we use the Pixhawk board to conduct our research.

Optimization of smart factory

We are interested in maximizing productivity through parameter modeling and analysis of smart factory.

Design and analysis of self-adjusting protocols for wireless environments

We are interested in designing reliable, efficient, and adaptive protocols for various application areas under wireless environments. In particular, we mainly focus on reliability under uncertainty, i.e., we are aiming at providing provable robust performance under uncertainty in wireless environments.

Situation-aware quality of service (QoS) guarantee for tactical networks

Situation-aware network means the ability to quickly predict and cope with network problems such as unexpected link disruptions or cyber attacks for resource management. Also, It needs a way to adapt the situation quickly and to satisfy QoS requirements according to message importance. To increase timeliness and efficiency, we are researching QoS-guaranteed algorithms in an environment where the urgency or importance of a mission changes dynamically.
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Page last modified on August 18, 2019, at 02:34 PM EST