PATENT CLAIM ANALYSIS

Application Number: 16201827
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["726", "006000"]

Abstract:
The present invention provides a method for authenticating distributed peripherals on a computer network using an array of physically unclonable functions (PUF). As each PUF is unique, each PUF is able to generate a plurality of challenge response pairs that are unique to that PUF. The integrated circuits of the PUF comprise a plurality of cells, where a parameter (such as a voltage) of each cell may be measured (possibly averaged over many readings). The plurality of cells in the PUF may be arranged in a one, two or more dimensional matrix. A protocol based on an addressable PUF generator (APG) allows the protection of a network having distributed peripherals such as Internet of things (IoT), smart phones, lap top and desk top computers, or ID cards. This protection does not require the storage of a database of passwords, or secret keys. and thereby is immune to traditional database hacking attacks.

Claim (Index 1):
A method for a host and an addressable physically unclonable function generator (H/APG) in a plurality of H/APGs to generate a password, comprising the steps of:\n Determining, by a matrix controller, a first horizontal axis and a first vertical axis in a matrix of a plurality of H/APGs based on a user identification of a distributed peripheral; Addressing, by the matrix controller, a first H/APG in the plurality of H/APGs using the first horizontal axis and the first vertical axis; Generating, by the first H/APG in the plurality of H/APGs, a first password configured to reveal a challenge; and transmitting the first password to the peripheral device.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 98.0
- Lexical Diversity: 1.75
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16201861', '15347727', '15347721', '16036498', '15347715']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3224159016916588
- 35 USC 102 Novelty (BERT): 0.5792655782725357
- Combined Prediction Score: 0.3481008693497465
- Mean Citation Score: 441.714932
- Max Citation Score: 466.67502
- Similarity Product: 446.755538208604

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

Dataset: test