Network Traffic Flow Detaction

Traffic Identification and classification techniques such as DPI (Deep Packet Inspection) are used widely, which prove to be expensive in terms of latency and other viable resources. We are working on a technique using much lower resources based on Machine Learning. As an example, the Global Interne

Project Title

Network Traffic Flow Detaction

Project Area of Specialization

Artificial Intelligence

Project Summary

Traffic Identification and classification techniques such as DPI (Deep Packet Inspection) are used widely, which prove to be expensive in terms of latency and other viable resources. We are working on a technique using much lower resources based on Machine Learning. As an example, the Global Internet Traffic Statistics tell us that 15% of all Internet Traffic is acquired by Netflix alone, followed by YouTube, which is responsible for 11%. Streaming being a big chunk of the traffic takes the majority fill of the internet pipe of major Internet Service providers. Many functional tools and methods have been introduced in the past to detect an upcoming flow so the traffic can be throttled using policing and shaping, but the detection techniques are mainly based on DNS and port numbers, which can easily misidentify new traffic sources and is against net neutrality principles as well.

Project Objectives

Flow Detection and classification on a packet Dump ( Pcap ) based on signatures irrespective of the origin of the source.

Project Implementation Method

Collection Of Data:

• Collected  network traffic data using wireshark tool of computer.
• Collected network traffic data of android phone using PCAPdroid application

Data Cleaning through EDA:

Performed multiples steps to clean data in our data set using EDA cleaning methedologies.

Algorithms:

Implemented multiples algorithms on our final data set to get the best accuracy by comparing the results.

Benefits of the Project

Use Cases:

• we can control the bandwidth of the network pipe.
• we can do debugging where the network is getting disturbed.

Technical Details of Final Deliverable

Flow Detection and classification on a packet Dump ( Pcap ) based on signatures irrespective of the origin of the source.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Telecommunication

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com