PATENT CLAIM ANALYSIS

Application Number: 16008374
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["726", "024000"]

Abstract:
Disclosed are devices, systems, apparatus, methods, products, media and other implementations, including a method that includes obtaining hardware-based micro-architectural data, including hardware-based micro-architectural counter data, for a hardware device executing one or more processes, and determining based, at least in part, on the hardware-based micro-architectural data whether at least one of the one or more processes executing on the hardware device corresponds to a malicious process. In some embodiments, determining based on the hardware-based micro-architectural data whether the at least one of the one or more processes corresponds to a malicious process may include applying one or more machine-learning procedures to the hardware-based micro-architectural data to determine whether the at least one of the one or more processes corresponds to the malicious process.

Claim (Index 4):
The method of  claim 1 , wherein determining whether the process executing on the hardware device corresponds to one of the different anomalous processes comprises:\n applying one or more machine-learning procedures, trained using the multiple data sets of micro-architectural data representative of respective traces of activities performed by the different anomalous processes executable on the hardware device during the respective time periods, on the hardware-based micro-architectural data to determine whether the process corresponds to the one of the different anomalous processes.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.53704
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14778043', '14494758', '12954454', '14707977', '14086574']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.235834746212542
- 35 USC 102 Novelty (BERT): 0.4978295711841623
- Combined Prediction Score: 0.262034228709704
- Mean Citation Score: 178.319346
- Max Citation Score: 268.35562000000004
- Similarity Product: 241.79384214900853

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

Dataset: test