PATENT CLAIM ANALYSIS

Application Number: 15746411
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["726", "023000"]

Abstract:
A computer implemented method of detecting unauthorized access to a protected network by monitoring a dynamically updated deception environment, comprising launching, on one or more decoy endpoints, one or more decoy operating system (OS) managing one or more of a plurality of deception applications mapping a plurality of applications executed in a protected network, updating dynamically a usage indication for a plurality of deception data objects deployed in the protected network to emulate usage of the plurality of deception data objects for accessing the deception application(s) wherein the plurality of deception data objects are configured to trigger an interaction with the deception application(s) when used, detecting usage of data contained in the deception data object(s) by monitoring the interaction and identifying one or more potential unauthorized operations based on analysis of the detection.

Claim (Index 13):
The computer implemented method of  claim 12 , wherein each of said plurality of templates further comprises a definition of a relationship between at least two of: said at least one decoy operating system, said plurality of deception application and said plurality of deception data objects.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.17391
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15175048', '15406731', '15448581', '15679180', '15691786']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3151247063962833
- 35 USC 102 Novelty (BERT): 0.5033385847255476
- Combined Prediction Score: 0.3339460942292098
- Mean Citation Score: 231.264882
- Max Citation Score: 245.67525
- Similarity Product: 161.1101497582644

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