Securing the Internet of Things with Artificial Intelligence
Dr. Xin-Wen Wu
KEY INTERESTS
Computer security; Cybersecurity education, Cryptographic protocols for the IoT; Multimedia and 3D information security; Cryptographic key management for cloud computing; Machine learning-based anomaly detection
APPOINTMENTS/AFFILIATIONS
Associate Professor, Department of Computer Science, University of Mary Washington
Senior Member, Institute of Electrical and Electronics Engineers
ACADEMIC DEGREES
BS, East China Normal University
MS, East China Normal University
PhD, China Academy of Sciences
SECURING THE INTERNET OF THINGS WITH ARTIFICIAL INTELLIGENCE TECHNOLOGIES
This project expands upon Dr. Wu's work on Internet of Things anomaly detection. The IoT is making a significant impact on our economy. It is undergoing rapid expansion, with estimates of a global economic impact of up to $11.1 trillion per year by 2025. Various IoT systems are being increasingly applied to a variety of domains, such as Industry 4.0, smart energy, and smart buildings, to name a few. While the IoT with its expanding applications offers many opportunities to our society, it also brings highly challenging cybersecurity issues. The IoT devices connected to the Internet without any built-in security mechanisms create easy-to-use gateways and a larger attack surface for malicious actors, which pose a great cybersecurity risk. To respond to these probelms, the concept of a zero-trust model was proposed. This project investigates IoT security in a zero-trust model applying artifical intelligence tecnologies.