PATENT CLAIM ANALYSIS

Application Number: 15982229
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["726", "023000"]

Abstract:
Disclosed are devices, systems, apparatus, methods, products, media and other implementations, including a method that includes obtaining current hardware performance data, including hardware performance counter data, for a hardware device executing a first process associated with pre-recorded hardware performance data representative of the first process' normal behavior, and determining whether a malicious process is affecting performance of the first process based on a determination of an extent of deviation of the obtained current hardware performance data corresponding to the first process from the pre-recorded hardware performance data representative of the normal behavior of the first process.

Claim (Index 2):
The method of  claim 1 , further comprising:\n applying one or more transform functions to at least the current hardware data to generate transformed data; wherein determining whether the anomalous process is affecting the performance of the first process comprises determining whether the anomalous process is affecting the performance of the first process based on the extent of deviation of the transformed data generated from the current hardware data, from the pre-recorded hardware data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.01887
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14778043', '14707977', '14042489', '13161950', '14086574']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2701759875825382
- 35 USC 102 Novelty (BERT): 0.541934549564566
- Combined Prediction Score: 0.297351843780741
- Mean Citation Score: 199.72815
- Max Citation Score: 397.16284
- Similarity Product: 364.4760276057672

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