AI-driven approach for the cyber defence of additive manufacturing management system

Additive manufacturing is rapidly employing the Internet of Things and cyber-physical systems to facilitate its reliability and relieve human supervision. However, with 5G network and cloud computing intertwining with the physical machines placed locally, the service is vulnerable to prospective cyberattacks. Various researchers have already stressed the urgent need to ensure the users’ and businesses’ web safety. As the old traditional cybersecurity precautions and procedures are gradually out of date, this increasingly disturbing concern in cybersecurity can be assisted by AI to ensure a safely cloud-based manufacturing system. This paper analyzes various threats posed upon cloud-based manufacturing system by using an existing framework as an example and select the best method from several potential models to implement AI to ensure the safe use of this server platform.

Faculty Supervisor:

Xianke Lin

Student:

Partner:

Mech Solutions Limited

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing

University:

University of Ontario Institute of Technology

Program: