PATENT CLAIM ANALYSIS

Application Number: 15878777
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["398", "118000"]

Abstract:
This cyber-retro-reflector technology is a series of Architectures, representing staged deployments, including backward compatibility, of products with enhanced features, for integrating technologies and capabilities, of electronic and photonic systems to: (a) reduce power consumption for circuits and systems that are placed into ‘off’ and/or disabled states, including external interface portals of electronic and photonic systems, (b) increase and enhance intra-/inter-connectivity, interoperability, and functionality of a system and the aggregate of systems, (c) increase and enhance integrated capabilities leading to higher computational performance for the system and the aggregate of systems, (d) take full advantage of photonic capabilities, and (e) improve hacking detection.

Claim (Index 19):
A method of identifying anomalous computer system performance, wherein two isolated independent data sets are compared, first data set is generated by the computer system operating system, second data set is generated by passive sensors transmitting their data via free space optical communications inaccessible by the computing system, said passive sensors' data has high correlation to parameters within the first data set, analysis is looking for miscompares.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 86.0
- Lexical Diversity: 1.77778
- Patent Class: 398.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11316241', '10361876', '11316303', '11315387', '09855741']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.660085483608188
- 35 USC 102 Novelty (BERT): 0.5011618791592655
- Combined Prediction Score: 0.6441931231632957
- Mean Citation Score: 99.942824
- Max Citation Score: 102.229774
- Similarity Product: 61.49261404573464

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