PATENT CLAIM ANALYSIS

Application Number: 16406284
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["726", "023000"]

Abstract:
A method includes receiving a first file attribute from a computing device. The method also includes determining whether a classification for a file is available from a first cache of the server based on the first file attribute. The method includes sending the first file attribute from the server to a second server to determine whether the classification for the file is available at a base prediction cache of the second server. The method includes receiving a notification at the server from the second server that the classification for the file is unavailable at the base prediction cache. The method includes, in response to receiving the notification, determining the classification for the file by performing an analysis of a second file attribute based on a trained file classification model. The method includes sending the classification to the computing device and sending at least the classification to the base prediction cache.

Claim (Index 9):
The method of  claim 1 , wherein the second file attribute comprises an entropy indicator n-gram vector, the entropy indicator n-gram vector indicating occurrences of a plurality of n-grams in a sequence of entropy indicators representing the file, a first entropy indicator of the sequence corresponding to a first bin name associated with a first range of entropy values, a second entropy indicator of the sequence corresponding to a second bin name associated with a second range of entropy values, each of the plurality of n-grams comprising a combination of multiple bin names, wherein n is an integer greater than or equal to two.

Metadata:
- Claim Count in Document: 43.0
- Percentile: 100.0
- Lexical Diversity: 3.3617
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15639520', '15610191', '15610173', '15610228', '15583565']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3918171111980478
- 35 USC 102 Novelty (BERT): 0.6169775304114337
- Combined Prediction Score: 0.4143331531193864
- Mean Citation Score: 443.06712000000016
- Max Citation Score: 561.12286
- Similarity Product: 491.6603095855592

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