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REMINDS aims to enhance data security by innovatively manipulating magnetism at the material level. It focuses on using voltage to control ferromagnetic, antiferromagnetic, and ferroelectric materials, enabling energy-efficient data protection methods applicable in anti-counterfeiting and anti-hacking technologies.
With the advent of Big Data, information is facing new, potentially more damaging, security threats.
The current trend to enhance data protection is to use increasingly complex mathematical algorithms to encrypt information.
This approach requires exponentially growing amounts of data, time and power resources. REMINDS proposes a radically new concept to boost data security: to act directly at material level, i.e., in the way information is stored.
The project is built on the disruptive idea of…
UNIVERSITAT AUTONOMA DE BARCELONA
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