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Biasing of FET01:22

Biasing of FET

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Biasing a Junction Field Effect Transistor (JFET) is crucial for setting operational parameters and ensuring efficient functioning in electronic circuits. JFETs are characterized by using a single carrier type in N-channel or P-channel configurations, where the channel is surrounded by PN junctions. These junctions are central to the device's ability to control current flow.
In an N-channel JFET, the structure consists of N-type material forming the channel on a P-type substrate, with the...
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Field Effect Transistor01:29

Field Effect Transistor

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Field-effect transistors (FETs) are integral to electronic circuits and distinguished by their three-terminal setup: the gate, drain, and source. These transistors operate as unipolar devices, which utilize either electrons or holes as charge carriers, in contrast to bipolar transistors, which use both types of carriers. The primary function of the FET is to modulate the flow of these carriers from the source to the drain through a channel. The voltage difference between the gate and source...
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Carrier Generation and Recombination01:22

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Carrier generation is the process by which electron-hole pairs (EHPs) are created within the semiconductor. In direct-bandgap semiconductors, such as gallium arsenide (GaAs), this occurs efficiently when energy absorption prompts valence electrons to leap into the conduction band, leaving behind holes.
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MOSFET: Enhancement Mode01:22

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Enhancement-mode MOSFETs are pivotal components in electronics, distinguished by their capacity to act as highly efficient switches. They are part of the larger family of metal-oxide Semiconductor Field-Effect Transistors (MOSFETs). They are available in two types: p-channel and n-channel, each tailored to specific polarity operations.
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In most substances, the current flow is proportional to the voltage applied to it. A simple relationship between the values of current, voltage, and resistance is known as Ohm's law. Nonohmic devices do not exhibit a linear relationship between voltage and current. One such device is the semiconducting circuit element known as a diode. A diode is a circuit device that allows current flow in only one direction.
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Biasing metal-semiconductor junctions involves applying a voltage across the junction. Specifically, the metal is connected to a voltage source, while the semiconductor is grounded. This technique is essential for controlling the direction and magnitude of current flow in electronic devices, including diodes, transistors, and photovoltaic cells.
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Attack Resilient True Random Number Generators Using Ferroelectric-Enhanced Stochasticity in 2D Transistor.

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Summary

This study introduces a low-power true random number generator (TRNG) using molybdenum disulfide ferroelectric field-effect transistors. The device offers enhanced security against machine learning attacks and passes NIST statistical tests for cryptographic applications.

Keywords:
2D transistorsferroelectrictrue random number generators

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Cybersecurity

Background:

  • True Random Number Generators (TRNGs) are crucial for cryptographic security.
  • Conventional hardware TRNGs face challenges with complex designs and susceptibility to machine learning attacks.
  • Exploiting inherent physical properties offers a path to more secure random number generation.

Purpose of the Study:

  • To develop a low-power, self-corrected TRNG with enhanced unpredictability.
  • To leverage the stochastic properties of 2D materials for secure random number generation.
  • To assess the TRNG's resilience against advanced machine learning-based attacks.

Main Methods:

  • Utilized molybdenum disulfide (MoS2) ferroelectric field-effect transistors (Fe-FETs) with hafnium oxide.
  • Exploited stochastic ferroelectric switching and charge trapping mechanisms.
  • Evaluated TRNG performance using entropy, Hamming distance, autocorrelation, and endurance tests.
  • Subjected the TRNG to predictive regression and LSTM machine learning attack models.
  • Validated cryptographic key generation using the NIST 800-20 statistical test suite.

Main Results:

  • Achieved near-ideal entropy (≈1.0) and a Hamming distance of ≈50%.
  • Demonstrated independent autocorrelation and reliable endurance across temperature variations.
  • Confirmed the TRNG's unpredictability against sophisticated machine learning attacks.
  • Generated cryptographic keys successfully passed NIST statistical tests.
  • Showcased enhanced stochastic variability in the MoS2 Fe-FET based TRNG.

Conclusions:

  • The proposed MoS2 Fe-FET TRNG offers a secure and low-power solution for cryptographic applications.
  • Integration of ferroelectric and 2D materials presents a promising avenue for advanced data encryption.
  • The device provides a novel alternative for generating truly random numbers resistant to prediction.