Cyber Security Laboratory

AI-based Detection and Prevention of Cyber Attacks

Supervisor
Ryotaro KOBAYASHI: Professor

The Internet currently provides a multitude of services, which have become essential for our information society. Cyber Security Laboratory are engaged in study on both hardware and software mechanisms that protect the computers connected with the Internet. We utilize various technologies including AI, deep learning, AI chip, VM, GPU, FPGA, and RISC-V to develop the novel methods. The students in the laboratory aim to grow as security engineers through the above research activities.

Topics of research
  • AI-based DoS Attack Prevention
  • Unauthorized Access Detection
  • AI Chip for Malware Detection
keyword Cyber Security / AI / IoT / Deep Learning

Graduate School of Engineering