Raspberry Pi is trained to detect malware attack using EM waves


By MYBRANDBOOK


Raspberry Pi is trained to detect malware attack using EM waves

The Raspberry Pi Malware Detection system relies on electromagnetic waves emerging from the potential victim's computer to detect malicious activity. Researchers claim the system achieved accuracy as high as 99.82% during testing.

 

The Malware Detection System does not intercept any software or investigate data packets flowing in and out of any computer. Instead, the Raspberry Pi estimates, with a surprisingly high degree of accuracy, ongoing malware activity, by analyzing specific electromagnetic waves.

 

Researchers linked a Raspberry Pi to an oscilloscope (Picoscope 6407) and an H-field probe to detect EM field changes for developing the malware detection system. They trained the Single Board Computer (SBC), “with both safe and malicious data sets to help define the parameters of a potential threat”.

 

The biggest advantage of a Raspberry Pi Malware Detection system is that it is an external monitoring system. There is no need to install any software on potential targets. This system remains completely immune to the countermeasures many types of malware deploy to evade detection or cripple anti-malware systems.

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