PATENT CLAIM ANALYSIS

Application Number: 15875902
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["709", "224000"]

Abstract:
An apparatus, computer program product, and method relating to identifying and configuring an access point (AP) as a network sniffer. A network controller identifies a plurality of sniffer targets for which at least one of a plurality of sniffer candidate access points an act as a network sniffer. The controller receives a desired sniffer target. The controller selects a first AP, of the plurality of sniffer candidate APs, for use as a network sniffer, based on the identified plurality of sniffer targets and the desired sniffer target. The controller configures a radio in the first AP as a network sniffer to monitor network traffic related to the desired sniffer target.

Claim (Index 15):
A computer implemented method for identifying and configuring an AP as a network sniffer, the method comprising:\n identifying a plurality of sniffer targets for which at least one of a plurality of sniffer candidate access points (APs) can act as a network sniffer; receiving a desired sniffer target; selecting a first AP, of the plurality of sniffer candidate APs, for use as a network sniffer, based on the identified plurality of sniffer targets and the desired sniffer target; and configuring a radio in the first AP as a network sniffer to monitor network traffic related to the desired sniffer target.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.21818
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15875650', '11532811', '10966353', '11940339', '11932126']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2728522641759938
- 35 USC 102 Novelty (BERT): 0.4924875163563217
- Combined Prediction Score: 0.2948157893940266
- Mean Citation Score: 192.27897
- Max Citation Score: 251.268
- Similarity Product: 185.7976608552933

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

Dataset: test