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@ -11,7 +11,7 @@ The general operation of a @puf with a @hda can be divided into two separate sta
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#figure(
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include("../charts/PUF.typ"),
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caption: [@puf model description using enrollment and reconstruction.]
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caption: [@puf model description using enrollment and reconstruction @PUFChartRef]
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)<fig:puf_operation>
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The enrollment stage will usually be performed in near ideal, lab-like conditions i.e. at room temperature ($25°C$).
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@ -31,8 +31,7 @@ To achieve that, helper data is generated to define multiple quantizers for the
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A generalization outline to extend @tmhdt for higher order bit quantization has already been proposed by Fischer in @smhd.
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In the course of this work, we will first take a closer look at @smhdt as proposed by Fischer @smhd and provide a concrete realization for this method.
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We will also propose a method to shape the input values of a @puf to better fit within the bounds of a multi-bit quantizer which we call @bach.
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We will investigate the question which of these two #glspl("hda") provides the better performance for higher order bit cases with the least amount of helper data bits.
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We will also propose the idea of a method to shape the input values of a @puf to better fit within the bounds of a multi-bit quantizer which we call @bach and discuss how such a @hda can be successfully implemented in the future.
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== Notation
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