[R] Can machine learning make side-channel attacks even stronger?
I'm a mathematician. Not really into computers and/or hacking. But I wouldn't be surprised if the following is indeed true:
Machine learning can be used to identify activity on your computer from traces recorded in JavaScript that measure CPU instruction throughput over time
But I have a different question. Why would one human being ever try to compromise another human being? By cheating, mistreating, abusing and so on. An irrational and counterproductive behaviour.
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Downfall side channel attack
This one has been fun.
AWS and GCP have already come out with advisories that they are in the clear, but some PaaS companies know for running their own hardware and serving customer projects are still outstanding.
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In short no, just patience, curiosity, and a bit of passion for figuring things out :)
This book (which is out later in the year) looks like it would be a great place to start without a formal background in electronics or computer science: https://nostarch.com/hardwarehacking - it's cowritten by Colin from NewAE (https://wiki.newae.com/Main_Page) which also has tons of information on using the ChipWhisperer for SCA stuff. If you have no embedded systems knowledge at all, start with Arduino, move up to writing some bare C, and then you'll be in a better place to jump in on this sort of material.
Good luck!
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