PATENT CLAIM ANALYSIS

Application Number: 15890936
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["455", "411000"]

Abstract:
A processing method for terminal access to a 3GPP network is provided. A UE sends an access request message to a core network device on the 3GPP network, and the core network device sends an unauthorized access message to the UE after determining that the UE has no permission to access the 3GPP network. The unauthorized access message includes authentication information of the core network device. The UE performs authentication on the core network device according to the authentication information of the core network device, and executes a corresponding network access policy after authentication on the core network device by the UE succeeds, that is, after the UE determines that a source of the unauthorized access message is authorized.

Claim (Index 5):
The method according to  claim 4 , wherein the authentication information further comprises an authentication vector set, the authentication vector set comprises a first parameter and a MAC, and the first parameter is used to generate an X-MAC; and\n wherein performing, by the terminal, the authentication on the core network device according to the authentication information further comprises:\n generating the X-MAC according to the first parameter when authentication on the ePDG has succeeded; \n when the X-MAC is the same as the MAC, determining that authentication on an HSS comprised in the core network device succeeds; and \n when the X-MAC is different from the MAC, determining that authentication on the HSS has failed.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 88.0
- Lexical Diversity: 2.76087
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15722140', '13814678', '14173073', '15564217', '15572808']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7444983148168611
- 35 USC 102 Novelty (BERT): 0.52103790896279
- Combined Prediction Score: 0.7221522742314541
- Mean Citation Score: 256.607188
- Max Citation Score: 294.55704
- Similarity Product: 191.56435587123863

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