prashant-3o/fridzo_rajasthan-it

Hackers activity analysis using SDN and Machine learning Techniques for Cybercrime department

Problem Statement

• Network threat analysis in the Network system to detect and mitigate malicious logs.
• Cyber crime department use this technique to trap the Hackers and their activities

SDN

• SDN primarily segregates the control and data planes.
• The main goal of this Project is to develop a detection to identify Distributed Denial of Service (DDoS) attacks in the SDN environment.
• For SDN , we have used the RYU controller and mininet for Virtual Network Environment.
• In this project, we use training Dataset and the parameters of normal traffic, such as payload size, packet per flow, to identify the legitimate attack for training.
• Then we use the parameters for attack using different tuples for training.
• After the analysis we start the traffic on single host by multiple host in the network.

Mininet

• Mininet creates a realistic
• virtual network,
• running real kernel,
• switch and application code, on a single machine (VM, cloud or native), in seconds, with a single command.