PATENT CLAIM ANALYSIS

Application Number: 15746598
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-01
Patent Classification: ["709", "224000"]

Abstract:
Conventional efforts for estimating the geographic location (geolocation) of devices associated with particular Internet Protocol (IP) addresses typically yield woefully inaccurate results. In many cases, the estimated IP geolocations are on the wrong continent. Embodiments of the present technology include techniques for identifying and improving incorrect estimates based on latency measurements, Domain Name Server (DNS) information, and routing information. For example, latency measurements from multiple collectors can be used to rate the plausibility of an IP geolocation estimate and, in certain cases, to increase the accuracy of the IP geolocation estimate. DNS and routing information can be used to corroborate the estimated IP geolocation. The resulting more accurate IP geolocation estimate can be used to route Internet traffic more efficiently, to enforce rules for routing sensitive information, and to simplify troubleshooting.

Claim (Index 21):
The method of  claim 18 , wherein:\n (D) comprises, for each sensor in the plurality of sensors, estimating the latency to within a confidence interval, and (G) comprises estimating the maximum possible geographic distance to within the confidence interval associated with the at least one latency selected in (E).

Metadata:
- Claim Count in Document: 18.0
- Percentile: 86.0
- Lexical Diversity: 1.79762
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15756646', '13192686', '14336570', '13173592', '13096773']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2980824704903136
- 35 USC 102 Novelty (BERT): 0.5030139252128445
- Combined Prediction Score: 0.3185756159625668
- Mean Citation Score: 227.234268
- Max Citation Score: 245.2286
- Similarity Product: 156.56065180137156

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

Dataset: test