Research overview
To develop automated, convenient and scalable control systems, industries 4.0 commonly construct each control system by comprising multiple modules to support various functionalities. Since these modules are designed and implemented individually, they are usually tested separately; thus some unexpected errors might be introduced when manufacturers coordinate them. Although some existing software engineering techniques can be utilised to assess the design security and implementation correctness, such techniques are mostly impossible to be applied to the modules developed by industries because most of them are closed-source.
Research details
This program proposes a data driven assessment system, aiming to assess the security of a variety of control systems developed by different Australian industries, such as Optus, Siemens. Instead of analysing source code of each control systems, this program first identifies the significant modules that might cause security issues, such as cryptographic-related module, authentication module, and data transmission module.
A data driven assessment system encapsulates novel and versatile techniques, which provides support to Australian industries constructing secure control systems without requesting their infrastructure details. Such a system makes the assessment become more confidential-friendly, more flexibility to support different control systems.
Collaborating Institutions
- Swinburne University
- Monash University
- DXC
- Asta
- Sysbox
- Netlinkz
