PATENT CLAIM ANALYSIS

Application Number: 16102189
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["713", "155000"]

Abstract:
Methods and apparatus for managing processing of electronic Subscriber Identity Modules (eSIM) data at a mobile device are disclosed. An eSIM management entity of an embedded Universal Integrated Circuit Card (eUICC) in the mobile device obtains an encrypted eSIM package, decrypts the eSIM package to obtain eSIM contents formatted generically and not specifically tailored to requirements of the eUICC. In some embodiments, the eSIM contents are formatted based on an abstract syntax notation (ASN) distinguished encoding rules (DER) format. The eSIM management entity parses the formatted eSIM contents to retrieve individual eSIM components and installs each eSIM component for the eSIM in an eSIM security domain on the eUICC. In some embodiments, the eSIM management entity acts as a local, personalization server to provide local Trusted Service Manager (TSM) server functionality for eSIM installation that transforms “generically formatted” eSIM contents into eSIM components that match specific requirements of the eUICC.

Claim (Index 3):
The method of  claim 1 , wherein the implicit record fill pattern indicates padding to use to produce a fixed length value for a file record of the eSIM for installation on the eUICC.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 1.87912
- Patent Class: 713.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15093595', '15340933', '15287614', '15940804', '15691660']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.445513403336024
- 35 USC 102 Novelty (BERT): 0.572351892642508
- Combined Prediction Score: 0.4581972522666724
- Mean Citation Score: 388.391932
- Max Citation Score: 522.58453
- Similarity Product: 322.1358704586923

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