PATENT CLAIM ANALYSIS

Application Number: 16036506
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["713", "156000"]

Abstract:
Methods and systems are provided for supporting efficient and secure “Machine-to-Machine” (M2M) communications using a module, a server, and an application. A module can communicate with the server by accessing the Internet, and the module can include a sensor and/or an actuator. The module, server, and application can utilize public key infrastructure (PKI) such as public keys and private keys. The module can internally derive pairs of private/public keys using cryptographic algorithms and a first set of parameters. A server can authenticate the submission of derived public keys and an associated module identity. The server can use a first server private key and a second set of parameters to (i) send module data to the application and (ii) receive module instructions from the application. The server can use a second server private key and the first set of parameters to communicate with the module.

Claim (Index 7):
The system of  claim 1 , wherein the module identity string in the first message comprises a first string, wherein the module identity in the second message comprises a second string and wherein the first string and the second string are associated with a serial number of a module.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 95.0
- Lexical Diversity: 2.33803
- Patent Class: 713.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15583968', '15010905', '14789255', '15457700', '14055606']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4696132548007405
- 35 USC 102 Novelty (BERT): 0.5863196688634794
- Combined Prediction Score: 0.4812838962070145
- Mean Citation Score: 440.7571080000001
- Max Citation Score: 468.27426
- Similarity Product: 457.7636938793637

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