PATENT CLAIM ANALYSIS

Application Number: 15957996
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["726", "023000"]

Abstract:
A method of protecting a network-connected device from an advanced persistent threat cyber-attack is provided. A network-connected device having an operating system, a memory, memory instructions holding executable program instructions, and being communication enabled, is protected from an advanced persistent threat by steps of detecting the advanced persistent threat due to the presence of rogue software in the memory instructions of the network-connected device and locking-down the communications of the network-connected device. The network-connected device may be provided with low-level routines that are correlated to the memory instructions. Detecting the advanced persistent threat may be comprised of authenticating the memory instructions of the network-connected device by using the installed low-level routines.

Claim (Index 3):
The method of  claim 1 , wherein:\n the routines are computing checksum blocks routines; and authenticating executable program instructions comprises:\n generating checksums for the memory instructions before the network-connected device is deployed for the first time; and \n comparing the checksum block routines to the checksums for the memory instructions.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.125
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14705407', '10114536', '14529857', '12390731', '14140027']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2688539589594786
- 35 USC 102 Novelty (BERT): 0.5449542358889292
- Combined Prediction Score: 0.2964639866524237
- Mean Citation Score: 190.086364
- Max Citation Score: 393.01822
- Similarity Product: 382.08127071609255

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