Raspberry Pi Can Detect Malware Using EM Waves With 99.82% Accuracy

The device uses CNN to record data and detect any malicious activity.

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There are tons of things you can do with a Raspberry Pi. The $35 single-board computer can be used in projects, as a personal mini-computer, as a retro gaming console, and more. According to researchers, Raspberry Pi can also detect malware using electromagnetic waves with amazing accuracy.

Raspberry Pi: Antivirus… What’s That?

A group of researchers at the Research Institute of Computer Science and Random Systems in France are behind the idea. Tom’s Hardware reports that the devices used to create this are an oscilloscope and an H-field probe with a Raspberry Pi 2B.

Computers emit electromagnetic waves when they’re in use. When a computer is under attack, the device can detect anomalies in the waves. Scientists say it can be used to “obtain precise knowledge about malware type and its identity.”

Convolution Neural Networks (CNN), a deep learning algorithm to detect threats. Researchers also claim that over 100,000 measurements from malware-infected IoT devices could be obtained at 99.82% accuracy. One of the best things about this is you won’t need the help of third-party antivirus software as most of them tend to introduce hurdles rather than getting rid of the malware.

However, there are a few downsides to this. Firstly, the tech used in this costs thousands of dollars, and secondly, the tech used would take a lot of time to become mainstream.

Either way, it’s great to see good folks trying to bring change to the industry, especially when malware and privacy have become one of the leading concerns of the modern internet. What are your thoughts about this? Do you think there’s a better way to tackle malware? Let us know in the comments section below.

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Abubakar Mohammed

Abubakar Mohammed

Abubakar is a passionate tech writer whose love for tech started in 2011 when he got a Dell Inspiron 5100. When he's not covering Linux and open-source, you'll find him binge-watching anime or Tech content on YouTube.

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