Quantum Dot-Graphene FETs for Secure User Identification
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Solution Overview
Problem
Existing identification devices face challenges in securely handling user authentication parameters to prevent unauthorized access and interception of personal information.
Innovation Solution
An apparatus and method utilizing quantum dot-graphene field effect transistors (QD-GFETs) with varying drain-source bias voltages to detect light from a user, generating scrambled identification signals that can only be unscrambled by authorized devices, ensuring secure transmission and authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional identification devices are used to detect and process user biometric data, then the device structure is simple and easy to manufacture, but the security of user authentication parameters is compromised and personal information can be intercepted by unauthorized devices
Solution Approach 1:
The patent applies parameter changes by varying the drain-source bias voltage across multiple quantum dot-graphene field effect transistors. Each transistor receives a different bias voltage parameter, which modulates the output signal differently. This creates a scrambled identification signal that requires knowledge of the specific voltage parameters to decode, thereby enhancing security without fundamentally changing the device structure
Solution Approach 2:
The patent segments the identification signal processing into multiple parallel quantum dot-graphene field effect transistors, where each transistor processes a portion of the biometric data independently with a unique drain-source bias voltage. This segmentation allows the system to generate a composite scrambled signal that maintains security while using a relatively simple overall device architecture
2Reliability
If multiple quantum dot-graphene field effect transistors with different drain-source bias voltages are used to generate scrambled identification signals, then the security of user authentication is enhanced, but the device complexity and manufacturing difficulty increase
Solution Approach 1:
Rather than manufacturing physically different transistors with varying structural parameters, the invention achieves security by changing the electrical parameter (drain-source bias voltage) applied to otherwise identical or similar quantum dot-graphene field effect transistors. This approach maintains manufacturing simplicity while achieving the security enhancement through parameter variation rather than structural complexity
3Reliability
If individual drain-source bias voltages with different parameters are applied to each quantum dot-graphene field effect transistor, then scrambled identification signals are generated that prevent unauthorized access, but the control circuitry complexity increases
Solution Approach 1:
The control circuitry manages complexity by systematically varying a single key parameter (drain-source bias voltage) across the transistor array rather than managing multiple independent control signals for each transistor. This parameter-based control approach simplifies the control architecture compared to more complex encryption methods that would require multiple control layers
Solution Approach 2:
The same quantum dot-graphene field effect transistor structure is replicated multiple times across the array, with each copy receiving a different drain-source bias voltage parameter. This copying approach allows the system to achieve security through parameter differentiation rather than structural complexity, reducing the burden on control circuitry design
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution provides a secure and effective means of generating and transmitting scrambled identification signals, enhancing the security of user authentication systems by ensuring only authorized devices can access biometric data.
Implementation Method 1
a plurality of quantum dot-graphene field effect transistors... to enable the plurality of quantum dot-graphene field effect transistors to detect light from a user
Data Source
AI summary
An apparatus, method and computer program wherein the apparatus comprises:a plurality of quantum dot-graphene field effect transistors; circuitry configured to provide an individual drain-source bias voltage to each of a plurality of quantum dot-graphene field effect transistors, wherein different individual drain-source bias voltages have different parameters, to enable the plurality of quantum dot-graphene field effect transistors to detect light from a user of an apparatus; and circuitry configured to obtain output signals from each of a plurality of quantum dot-graphene field effect transistors where the output signal is dependent upon both the light detected by the quantum dot-graphene field effect transistor and the parameters of the drain-source bias voltage to enable the obtained output signals to be used as a scrambled identification signal of the user of the apparatus.