Tokyo, April 2, 2018 - NEC Corporation (NEC; TSE: 6701) today announced the development of a tamper detection technology for protecting Internet of Things (IoT) devices against cyberattacks. This technology is expected to help protect industrial robots, machine tools and other IoT devices that have insufficient CPU performance or memory capacity to defend themselves.

In recent years, manufacturing processes have become increasingly optimized through the use of IoT. These changes, however, have been accompanied by an increase in the risk of cyberattacks against not only conventional targets, such as servers and PCs, but also against the IoT-enabled control systems of production lines, as well as robots, machinery tools and other devices. Every year, these attacks have been causing more plant shutdowns, production line glitches and other damages to industrial operations. In order to reliably protect IoT devices against cyberattacks, and to minimize the damages caused by these attacks, security for these devices is critical.

NEC's new technology helps resolve these issues by detecting tampering in approximately 6 milliseconds when inspecting a 2 kilobyte (KB) memory area, without slowing the performance of IoT devices. This is accomplished through its lightweight architecture, which has an execution code of only 4 KB, and a detection technology that helps to identify the areas in need of tamper inspection. Moreover, this technology can perform inspections while IoT devices are first being activated, as well as during their operation, which makes it suitable for use in IoT devices that operate for many hours.

"Early detection of IoT device tampering enables system administrators to quickly separate compromised devices from the system," said Mikiya Tani, general manager, Security Research Laboratories, NEC Corporation. "This technology will contribute to the prevention of secondary damages caused by tampering, such as the shutdown of production lines, defective products and the leakage of product design information."

Tamper Detection Technology for IoT Devices