Voltage-Reconfigurable Magneto-Ionic Nanolayers in Dot Arrays for Probabilistic, Materials-Engineered Security...

Area of Science:

• Materials Science
• Nanotechnology
• Cybersecurity

Background:

• Big Data necessitates advanced, energy-efficient security solutions.
• Conventional encryption is resource-intensive and vulnerable to new threats.
• Material-level protection at the nanoscale is crucial for anti-hacking and anti-counterfeiting.

Purpose of the Study:

• To present a novel magneto-ionic strategy for hardware-level security.
• To enable reconfigurable magnetic states for enhanced data protection.
• To explore applications in physical unclonable functions and random number generation.

Main Methods:

• Utilizing voltage-controlled N³⁻ ion migration in FeCoN dot arrays.
• Creating sub-15 nm ferromagnetic sublayers with tunable magnetic states (deterministic or probabilistic).
• Exploiting ion-spin control for nanoscale security primitives.

Main Results:

• Demonstrated reconfigurable sub-15 nm ferromagnetic sublayers with voltage-tunable probabilities.
• Achieved robust magnetic fingerprinting and self-protected primitives.
• Established a platform for true random number generation using stochastic orientation and chirality.

Conclusions:

• The magneto-ionic strategy offers a scalable, low-power, tamper-resistant hardware security solution.
• This approach provides material-level protection against hacking and counterfeiting.
• Ion-spin control at the nanoscale represents a significant advancement in next-generation hardware security.