18472042. INTELLIGENT FIREWALL FLOW CREATOR simplified abstract (Juniper Networks, Inc.)

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INTELLIGENT FIREWALL FLOW CREATOR

Organization Name

Juniper Networks, Inc.

Inventor(s)

Raja Kommula of Cupertino CA (US)

Rahul Gupta of Kanpur (IN)

Ganesh Byagoti Matad Sunkada of Bengaluru (IN)

Tarun Banka of Milpitas CA (US)

Thayumanavan Sridhar of Sunnyvale CA (US)

Raj Yavatkar of Los Gatos CA (US)

INTELLIGENT FIREWALL FLOW CREATOR - A simplified explanation of the abstract

This abstract first appeared for US patent application 18472042 titled 'INTELLIGENT FIREWALL FLOW CREATOR

Simplified Explanation

The patent application describes a network system that can analyze telemetry data to determine patterns of flow instances and generate action entries in a policy table based on these patterns before receiving the first packet of a particular flow instance.

  • The network system includes processing circuitry and memories to store instructions for analyzing telemetry data.
  • The system determines patterns of flow instances based on indications of flow creations.
  • Action entries are generated in a policy table for specific flow instances before receiving the first packet of that flow.

Potential Applications

This technology could be applied in network security systems to proactively manage and control network traffic based on flow patterns.

Problems Solved

This technology solves the problem of efficiently managing network traffic by predicting flow patterns and taking action before the flow instances are fully established.

Benefits

The benefits of this technology include improved network performance, enhanced security measures, and proactive traffic management.

Potential Commercial Applications

A potential commercial application of this technology could be in the development of advanced network security solutions for large organizations.

Possible Prior Art

One possible prior art for this technology could be existing network traffic analysis tools that focus on post-facto analysis rather than proactive management.

Unanswered Questions

How does this technology impact network latency?

The article does not address how the proactive management of flow instances may affect network latency. This could be an important consideration for real-time applications.

What are the potential limitations of this technology in highly dynamic network environments?

The article does not discuss the potential challenges or limitations of implementing this technology in networks with rapidly changing traffic patterns. This could be a critical aspect to consider for practical applications.


Original Abstract Submitted

Example systems, methods, and storage media are described. An example network system includes processing circuitry and one or more memories coupled to the processing circuitry. The one or more memories are configured to store instructions which, when executed by the processing circuitry, cause the network system to obtain telemetry data, the telemetry data comprising indications of creations of instances of a flow. The instructions cause the network system to, based on the indications of the creations of the instances of the flow, determine a pattern of creation of the instances of the flow. The instructions cause the network system to, based on the pattern of creation of the instances of the flow, generate an action entry in a policy table for a particular instance of the flow prior to receiving a first packet of the particular instance of the flow.