PATENT CLAIM ANALYSIS

Application Number: 16130795
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-12
Patent Classification: ["726", "001000"]

Abstract:
Embodiments are directed to systems and methods configured to gather, transmit, share and process security related data between end users and security applications/devices across multiple platforms using blockchain open implementation as the backend and smart contracts integrated with artificial intelligence and behavior analysis using rule engines to enforce/implement data decisions. The system is designed to continuously predict, monitor, prevent, detect, response and mitigate cyber threats. The process includes a self-enforced adaptable engine that has a fast incident response time and makes quick smart decisions. This is a resilient system that is constantly capturing data, learning, tracking and enforcing. Computational power is maximized by leveraging smart contracts to validate transactions between network devices, share encrypted and protected information about their functions, events across the network of nodes and make smart swarm decisions.

Claim (Index 20):
A method of detecting malware vulnerabilities in a computational environment, the method comprising the steps of:\n receiving, from a client environment, at least one input data distributed among a plurality of nodes within a particular network; receiving, from at least one of the plurality of nodes, the at least one input data into a curator engine to convert the at least one input data into a payload having at least one message header; receiving, from the curator engine, the payload having the at least one message header into a transaction engine; storing, from the transaction engine, the payload having the at least one message header into a blockchain database; processing, by a rule engine, the payload having the at least one message header so to make a decision to transform or analyze the transaction based on a predetermined set of rules; converting, by the curator engine, the payload having the at least one message header into a data file, evaluating, by an external malware analysis engine, the data file; aggregating, by a data aggregator, the data file for a plurality of behavior models; converting, by the curator engine, the data file into a valid message payload having a header; wherein the header of the valid message payload is determined whether to be malware, by the rule engine, assigning a second transaction and storing the determination prior to an action engine rejecting the header of the valid message payload or permitting the header of the valid message payload as a validated message payload into the client environment.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 97.0
- Lexical Diversity: 1.53684
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15932100', '13810450', '16115849', '15392389', '15704633']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2490726062291359
- 35 USC 102 Novelty (BERT): 0.4683840682455167
- Combined Prediction Score: 0.271003752430774
- Mean Citation Score: 158.06592
- Max Citation Score: 159.51233
- Similarity Product: 122.31699034045576

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