CyberFactory#1 (CF#1) aims at designing, developing, integrating and demonstrating a set of key enabling capabilities to foster optimisation and resilience of the Factory of the Future. To increase resilience the project partners work on a cluster of technology developments enabling secure and smart manufacturing systems, in particular against cyberthreats.
To this end project partner GOHM Electronics is applying RF Fingerprinting (radio frequency fingerprinting) technology to increase the security in wireless communication. Especially autonomous moving manufacturing machines (i.e. guided vehicles or robots) and low-end sensors in manufacturing sites are using Wi-Fi as their primary communication method. Even if the security keys are encrypted and there are several other security mechanisms to avoid non-legitimate devices in the Wi-Fi network, the Wi-Fi communication system suffers impersonation attacks. The security keys can be easily obtained from low-end sensor systems which are using SD cards as their primary storage devices. The MAC addresses (media access control addresses) can also be copied. Existing Wi-Fi security systems cannot differentiate the attacker from a legitimate sensor. This situation puts the whole system’s integrity and communication security at risk. By using machine learning-based RF Fingerprinting technology, the attacker can be detected even if similar packets are transmitted over the Wi-Fi communication channel, thereby contributing to a more resilient and secure Factory of the Future.
Addressing opportunities and threats for the Factory of the Future (FoF)