Main Reference PaperMSML: A Novel Multi-level Semi-supervised Machine Learning Framework for Intrusion Detection System, IEEE internet of things journal, 2018 [Python]
  • The proposed system exploits the semi-supervised machine learning methods to identify the intrusion in the system. It overcomes the issue of class imbalance and the non-identical distribution in the system. Also, it discovers the unknown pattern in the system to improve accuracy.

Description
  • The proposed system exploits the semi-supervised machine learning methods to identify the intrusion in the system. It overcomes the issue of class imbalance and the non-identical distribution in the system. Also, it discovers the unknown pattern in the system to improve accuracy.

  • To develop the intrusion identification system

  • To mitigate the class imbalance issue

Aim & Objectives
  • To develop the intrusion identification system

  • To mitigate the class imbalance issue

  • The inclusion of an optimization technique helps to achieve faster convergence.

Contribution
  • The inclusion of an optimization technique helps to achieve faster convergence.

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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