An Effective Study on Different Levels of Honeypot with Applications and Design of Real Time Honeypot

For the cloud security or Intrusion Detection System (IDS) a productive scheme for predicting and isolation maintenance is implemented. In this work, the different levels of Honeypots were compared to identify the details of honeypot and its interaction with application in the network. A real time honeypot system is used to detect the attacks. The Hon SSH is a high interaction honeypot that is implemented to gather the information about the hacker who targets the SSH server. The servers were configured using Puppet tool which is an open-source tool used for configuration. The tools like elastic search are used to view the logs collected by the honeypot. The features obtained were like ip-address, timestamp, etc., and best features were noted and stored to analyze the possible attacks and source port. The adoption of revolutionary XGBoost classifier algorithm results in a high rate of accuracy in the prediction of attacks. Finally, the data were analyzed to obtain the performance breakdown.