PATENT CLAIM ANALYSIS

Application Number: 16230088
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-12
Patent Classification: ["326", "008000"]

Abstract:
Disclosed is a physical unclonable function generator circuit and method. In one embodiment, a physical unclonable function (PUF) generator includes: a PUF cell array comprising a plurality of bit cells, wherein each of the plurality of bit cells comprises at least two inverters, at least one floating capacitor, at least two dynamic nodes, wherein the at least one floating capacitor is coupled between a first inverter at a first dynamic node and a second inverter at a second dynamic node; a PUF controller coupled to the PUF cell array, wherein the PUF controller is configured to charge the first dynamic nodes through the respective first inverters in the plurality of bit cells; and a finite state machine coupled to the PUF cell array configured to determine voltage levels on the second dynamic nodes through the respective second inverters in the plurality of bit cells to determine first logical states of the plurality of bit cells at at least one sampling time and generate a PUF signature.

Claim (Index 13):
The PUF generator of  claim 9 , wherein the second NMOS transistor is manufactured in a first P-well, wherein the first P-well is manufactured in a first N-well in a P-type substrate.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 98.0
- Lexical Diversity: 2.71212
- Patent Class: 326.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16004209', '15825457', '15877630', '15817870', '14667665']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6834468936604251
- 35 USC 102 Novelty (BERT): 0.5807638055545289
- Combined Prediction Score: 0.6731785848498355
- Mean Citation Score: 268.24587599999995
- Max Citation Score: 478.5015
- Similarity Product: 456.947790518403

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test