The Raspberry Pi can detect malware attacks by analyzing electromagnetic waves

New system Pi Malware Detection was developed by scientists from the Research Institute of Computer Science and Random Systems (IRISA). Security researchers took a rather non-standard approach to malware detection. Their solution does not examine data packets flowing from and to a given computer. Instead, a Raspberry Pi equipped with the aforementioned system estimates the activity of the malware by analyzing specific electromagnetic waves.

The entire system also includes an oscilloscope (Picoscope 6407 in this case) and H-field probes for EM field detection. The Raspberry Pi has been properly trained using safe and malicious datasets to help determine the parameters of a potential threat. Convolutional neural networks were used to evaluate the data, and the developed the model was to ensure accuracy at the level of 99.82 percent.

An important advantage of this system is that no program needs to be installed on the potential victim’s hardware. As a result, Pi Malware Detection is immune to any techniques to deactivate anti-virus software. Of course, the more tests, the more accurate the prepared software will be, which is why the researchers intend to continue to train the entire system. However, it is difficult to say whether it is possible to use this solution commercially and when it could possibly happen. The problem here will be too much complexity.

At the same time, we invite you to listen to the latest episode of the podcast Technically Thing Taking. This time we talked about electricity prices, the growing nuclear power near the Polish border and how many of us know that the reactor has been operating near Warsaw for several dozen years.

About Alex Marcell

He likes dogs, pizza and popcorn. Already a fanboy of Nintendo and Sony, but today throws anything. He has collaborated on sites and magazines such as GameBlast, Nintendo World, Hero and Portal Pop, but today is dedicated exclusively to Spark Chronicles.

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