PATENT CLAIM ANALYSIS

Application Number: 16250006
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["726", "023000"]

Abstract:
Processor(s) for detecting malicious software. A hardware virtual machine monitor (HVMM) operates under a host OS. Container(s) initialized with network application template(s) operate under a guest OS VM. A detection module operates under the guest OS VM includes a trigger detection module, a logging module and a container command module. The trigger detection module monitors activity on container(s) for a trigger event. The logging module writes activity report(s) in response to trigger event(s). The container command module issues command(s) in response to trigger event(s). The command(s) include a container start, stop and revert commands. A virtual machine control console operates under the host OS and starts/stops the HVMM. A container control module operates under the guest OSVM and controls container(s) in response to the command(s). The server communication module sends activity report(s) to a central collection network appliance that maintains a repository of activities for infected devices.

Claim (Index 36):
The method of  claim 35 , further comprising:\n discarding the first virtual environment without discarding the second virtual environment based on the detecting the unauthorized activity of the first application and not detecting an unauthorized activity of the second application.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 99.0
- Lexical Diversity: 2.71233
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14808681', '12558841', '15841913', '15459563', '12059454']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2988692391986426
- 35 USC 102 Novelty (BERT): 0.5484693035098996
- Combined Prediction Score: 0.3238292456297683
- Mean Citation Score: 386.554632
- Max Citation Score: 452.76294
- Similarity Product: 248.40462079997064

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

Dataset: test