PATENT CLAIM ANALYSIS

Application Number: 15938229
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["709", "207000"]

Abstract:
Data surveillance techniques are presented for the detection of security issues, especially of the kind where privileged data may be stolen by steganographic, data manipulation or any form of exfiltration attempts. Such attempts may be made by rogue users or admins from the inside of a network, or from outside hackers who are able to intrude into the network and impersonate themselves as legitimate users. The system and methods use a triangulation process whereby analytical results pertaining to data protocol, user-behavior and packet content are combined to establish a baseline for the data. Subsequent incoming data is then scored and compared against the baseline to detect any security anomalies. A set of metadata layers related to the analysis are also maintained. The techniques are also applicable for detecting performance issues indicative of a system malfunction or deterioration.

Claim (Index 17):
The system of  claim 14  wherein said anomaly is related to a performance issue of said computer network.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.63333
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14969347', '11367950', '10208485', '10504731', '13915654']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.265273364882988
- 35 USC 102 Novelty (BERT): 0.5299717560481985
- Combined Prediction Score: 0.2917432039995091
- Mean Citation Score: 217.603402
- Max Citation Score: 362.34595
- Similarity Product: 333.61546309677664

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