Cybersecurity Research Labs 

Department of Computer Science and Engineering

Data and Application Security Laboratory: Group developing technologies that provide data and application security. Current research topics of the students and faculty affiliated with the Information Security Laboratory can be categorized in the following areas: 1) Data security and privacy, 2) Security for IoT systems, 3) Adversarial attacks against machine learning systems, and 4) Semantics-based data provenance and integrity for HPC.

Secure Protocol Implementation & Development Lab (SPID): Group dedicated to the implementation and development of secure protocols for computer networks and distributed systems. SPIDers here are currently conducting research in the areas of network anomaly detection, secure sensor network infrastructures, and security of intermediate network devices.

Department of Integrated Information Technology

Cyberinfrastructure Research Lab: We investigate techniques, technologies, and tools used in a modern cyberinfrastructure comprised of high-performance systems that use, process, transmit, and store information. This includes the design and implementation of high-speed switched networks, TCP optimization and experimental evaluation of congestion control algorithms such as BBR, HTCP and Cubic. It also includes applications of statistical methods and neural networks, web-based data mining and knowledge management. Our research in these areas applies both to the information systems and to the way students are taught and learn.