Researchers at Rutgers University have developed a novel "dual digital twin" technique designed to detect and counteract cyberattacks targeting 3D printers.
Rutgers University researchers have introduced a new method to defend 3D printers against cyber threats. This technique, referred to as a "dual digital twin," aims to ensure the integrity of the manufacturing process even when malicious actors attempt to interfere.
The dual digital twin system operates by creating two distinct digital representations of the printing process. One digital twin mirrors the intended, legitimate printing job, while the second is designed to detect anomalies that might indicate a cyberattack. By comparing the outputs and behaviors of these two twins, the system can identify deviations from the expected process.
This approach allows for the detection of subtle manipulations that could alter the final printed object's properties or even cause the printer to malfunction. The researchers suggest that this method can help prevent the production of counterfeit parts or compromised components, which is a growing concern in industries relying on additive manufacturing.
The proposed dual digital twin technology offers a proactive defense mechanism, moving beyond traditional cybersecurity measures that often focus on network intrusion rather than the physical execution of the print job itself. This could be particularly relevant for critical applications where the reliability and security of 3D-printed parts are paramount.
The dual digital twin concept represents an advancement in securing additive manufacturing processes. By creating parallel digital models to monitor for deviations, it addresses the vulnerability of 3D printers to cyberphysical attacks. This is crucial for industries like aerospace and defense, where the integrity of printed components is non-negotiable, and could extend to in-situ manufacturing in space where remote tampering is a concern.
Edited by the news editor with AI and translated into English from the original report — please refer to the original source.