New system Pi malware detection was developed by scientists from the Research Institute of Computer Science and Random Systems (IRISA). Security researchers have taken a rather unusual approach to malware detection. Your solution does not examine packets of data flowing to and from a particular computer. Instead, a Raspberry Pi equipped with the above system estimates the activity of the malware by analyzing certain electromagnetic waves.
The overall system also includes an oscilloscope (here Picoscope 6407) and H-field probes for EM field detection. The Raspberry Pi has been properly trained with secure and malicious datasets to determine the parameters of a potential threat. To evaluate the data, convolutional neural networks were used and the developed ones the model should ensure an accuracy of 99.82 percent.
An important advantage of this system is that there is no need to install a program on the potential victim’s hardware. As a result, Pi Malware Detection is immune to any anti-virus software disabling technique. The more tests, the more precise the prepared software will of course be, which is why the researchers want to continue training the entire system. However, it is difficult to say if this solution can be used commercially and when it will be possible. The problem here is going to be too much complexity.
At the same time, we invite you to listen to the latest episode of the Technically Thing Taking podcast. This time we talked about electricity prices, the growing nuclear power near the Polish border and how many of us know that the reactor near Warsaw has been in operation for several dozen years.