Main Reference PaperPhishing-Aware: A Neuro-Fuzzy Approach for Anti-Phishing on Fog Networks, IEEE Transactions on Network and Service Management.
  • It uses uniform resource locator (URL) features and web traffic features to detect phishing websites based on a designed neuro-fuzzy framework (dubbed Fi-NFN). Based on the new approach, fog computing as encouraged by Cisco, it designs an anti-phishing model to transparently monitor and protect fog users from phishing attacks.

Description
  • It uses uniform resource locator (URL) features and web traffic features to detect phishing websites based on a designed neuro-fuzzy framework (dubbed Fi-NFN). Based on the new approach, fog computing as encouraged by Cisco, it designs an anti-phishing model to transparently monitor and protect fog users from phishing attacks.

  • To prevent phishing attacks efficiently and improve the security of the network in fog computing.

Aim & Objectives
  • To prevent phishing attacks efficiently and improve the security of the network in fog computing.

  • It considers the security issues regarding the fog network to enhance network safety.

Contribution
  • It considers the security issues regarding the fog network to enhance network safety.

  • 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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