Main Reference PaperIdentification of malicious activities in industrial internet of things based on deep learning models, Journal of Information Security and Applications, 2018 [R]
  • The deep learning based anomaly detection model proposed to identify the current and new attacks in the Internet Industrial Control Systems (IICSs). It tackles the issues of the false positive rate of large-scale data by utilizing the deep-learning models based on ADS.

Description
  • The deep learning based anomaly detection model proposed to identify the current and new attacks in the Internet Industrial Control Systems (IICSs). It tackles the issues of the false positive rate of large-scale data by utilizing the deep-learning models based on ADS.

  • To identify the existing and recent attacks

  • To achieve a higher intrusion detection rate

Aim & Objectives
  • To identify the existing and recent attacks

  • To achieve a higher intrusion detection rate

  • The inclusion of preprocessing technique in the model under various protocols to expose the intrusion

Contribution
  • The inclusion of preprocessing technique in the model under various protocols to expose the intrusion

  • 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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