Main Reference PaperSemi-supervised Learning based Distributed Attack Detection Framework for IoT, Applied Soft Computing, 2018 [Java/Python/R]
  • The proposed ELM-based Semi-Supervised Fuzzy C-Means (ESFCM) method in the fog computing environment yields an effective attack detection for the IoT. The Semi-Supervised Fuzzy C-Means assists in improving the clustering performance. The Extreme Learning Machine (ELM) algorithm enables the good generalization, and the proposed framework effectively resolves the issue of inexistence of labeled data that enhance the detection performance.

+ Description
  • The proposed ELM-based Semi-Supervised Fuzzy C-Means (ESFCM) method in the fog computing environment yields an effective attack detection for the IoT. The Semi-Supervised Fuzzy C-Means assists in improving the clustering performance. The Extreme Learning Machine (ELM) algorithm enables the good generalization, and the proposed framework effectively resolves the issue of inexistence of labeled data that enhance the detection performance.

  • To support the Distributed Attack Detection (DAD) in IoT.

  • To handle the labeled data issue in IoT

+ Aim & Objectives
  • To support the Distributed Attack Detection (DAD) in IoT.

  • To handle the labeled data issue in IoT

  • By employing the deep learning technique rather than the ELM technique that provides the superior accuracy and the faster processing ability.

+ Contribution
  • By employing the deep learning technique rather than the ELM technique that provides the superior accuracy and the faster processing ability.

  • Operating system: Ubuntu / Windows

  • Java/Python/R

+ Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Java/Python/R

  • 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.

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