17865443. SYSTEMS AND METHODS FOR PREDICTING UNDETECTABLE FLOWS IN DEEP PACKET INSPECTION simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

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SYSTEMS AND METHODS FOR PREDICTING UNDETECTABLE FLOWS IN DEEP PACKET INSPECTION

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Ankan Saha of Bangalore (IN)

Uday Trivedi of Bangalore (IN)

SYSTEMS AND METHODS FOR PREDICTING UNDETECTABLE FLOWS IN DEEP PACKET INSPECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17865443 titled 'SYSTEMS AND METHODS FOR PREDICTING UNDETECTABLE FLOWS IN DEEP PACKET INSPECTION

Simplified Explanation

The patent application describes a wireless communication system that uses machine learning to predict potential undetected flows in a Deep Packet Inspection (DPI) system. The system includes an input packet module for verifying packet parameters and a processor for processing the parameters to determine if the network traffic flow is detectable or undetectable using a trained machine learning model. The system then performs DPI processing for the detectable flows, optimizing flow processing for high rate traffic networks and reducing processing time.

  • The system uses machine learning to predict potential undetected flows in a DPI system.
  • It includes an input packet module for verifying packet parameters from a network traffic flow.
  • The processor processes the extracted parameters to determine if the flow is detectable or undetectable using a trained machine learning model.
  • DPI processing is performed for the detectable flows, optimizing flow processing for high rate traffic networks.
  • The system reduces processing time by identifying undetectable flows and not performing DPI processing on them.

Potential Applications

  • This technology can be applied in wireless communication systems to improve the efficiency and processing time of DPI systems.
  • It can be used in high rate traffic networks where quick and accurate detection of flows is crucial.

Problems Solved

  • The technology solves the problem of inefficient processing in DPI systems by predicting potential undetected flows using machine learning.
  • It addresses the challenge of high rate traffic networks by optimizing flow processing and reducing processing time.

Benefits

  • The system provides an optimized DPI flow processing for high rate traffic networks.
  • It reduces processing time by identifying undetectable flows and not performing DPI processing on them.
  • The use of machine learning improves the efficiency and accuracy of flow detection in wireless communication systems.


Original Abstract Submitted

Wireless communications and/or systems (e.g., ) and/or methods (e.g., ) may be provided for predicting of potential undetected flows in a DPI system using a machine learning (ML) model. The system may include an input packet module which may be configured for verifying packet parameters from a network traffic flow, and a processor which can be configured for processing the extracted parameters to identify whether the network traffic flow is potentially detectable or undetectable using a trained machine learning (ML) model based on at least the extracted parameters and perform DPI processing for the detectable flows. Thus, the system may provide an optimized DPI flow processing for high rate traffic networks with decreasing processing time.

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