What is it about?

A malware detection algorithm that can be embedded in edge computing is proposed in this study. This algorithm, with a pattern match accelerator, reduces the computing cost while maintaining a relatively high detection accuracy.

Featured Image

Why is it important?

For autonomous driving, complicated edge computing must have a huge amount of embedded program codes. In such a situation, the invasion of malware can lead to compromised cybersecurity. In this study, a pattern match accelerator is implemented for such issues, thereby offering edge computing that detects malware automatically.


One of the technical fields to which this article can be applied is the use of quantum computers in cyber security. For the combinatorial pattern matching using a quantum annealing machine as an accelerator, to find the effective solution is effective for larger data and parameter combinations. Our Study will bring about the application of quantum technology to future cyber security.

Masamori Kashiyama
Keio Gijuku Daigaku

Read the Original

This page is a summary of: Study on cyber‐security for IoT edge utilizing pattern match accelerator, Electrical Engineering in Japan, May 2021, Wiley,
DOI: 10.1002/eej.23333.
You can read the full text:



The following have contributed to this page