Google llc (20240187379). FIREWALL RULES INTELLIGENCE simplified abstract

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FIREWALL RULES INTELLIGENCE

Organization Name

google llc

Inventor(s)

Kan Cai of Sunnyvale CA (US)

Vikas Aggarwal of Brisbane CA (US)

Gargi Adhav of San Jose CA (US)

Rajendra Yavatkar of Saratoga CA (US)

Ning Zhao of San Jose CA (US)

Vishal Gupta of Milpitas CA (US)

FIREWALL RULES INTELLIGENCE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240187379 titled 'FIREWALL RULES INTELLIGENCE

Simplified Explanation

The patent application describes a firewall intelligence system that analyzes network traffic logs and firewall rule usage to provide recommendations for optimizing firewall rules.

  • The system includes a data storage for storing firewall rules, a recommendation engine for analyzing traffic logs and firewall logs, and a front end API for providing recommendations to users.
  • The recommendation engine processes the firewall rules against evaluation rules to determine rule recommendations for improving network security.
  • Each recommendation suggests changes to at least one firewall rule in the set of rules.
  • The front end API delivers the recommendations to user devices for implementation.

Potential Applications

The technology can be applied in network security systems, data centers, and cloud computing environments to enhance firewall rule management and optimize network security.

Problems Solved

The system addresses the challenge of manually managing and updating firewall rules by automating the process and providing intelligent recommendations for rule optimization.

Benefits

- Improved network security - Enhanced efficiency in managing firewall rules - Reduction in human error in rule configuration

Potential Commercial Applications

"Optimizing Firewall Rules for Enhanced Network Security"

Possible Prior Art

One possible prior art is a similar system that analyzes network traffic logs but does not specifically focus on firewall rule recommendations.

Unanswered Questions

How does the system handle real-time traffic analysis?

The system may use machine learning algorithms to analyze and process traffic logs in real-time for immediate rule recommendations.

What is the scalability of the system for large networks?

The system's architecture and design may allow for scalability to accommodate large networks with high volumes of traffic logs.


Original Abstract Submitted

a firewall intelligence system, includes a data storage storing a set of firewall rules for a network; a recommendation engine that receives, from a log service, traffic logs detailing traffic for the network and firewall logs detailing the usage of firewall rules in response to the traffic for the network, accesses, from the data storage, the set of firewall rules for the network; processes the set of firewall rules to evaluate the firewall rules against a set of quantitative evaluation rules to determine one or more firewall rule recommendations, wherein each firewall rule recommendation is a recommendation to change at least one of the firewall rules in the set of firewall rules; and a front end api that provides data describing the one or more firewall rule recommendations to a user device.