Main Reference PaperAnomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model, Journal of Computational Science, 2018 [Java/Python/R]
  • To obtain the effective intrusion aware system with the minimal detection time, the proposed hybrid model exerts the machine learning techniques on the network transaction data to judge the scope of the intrusion. Specifically, it exploits the Vote algorithm with Information Gain to extract the optimal features. Subsequently, it utilizes the classifiers to acquire the improved accuracy.

+ Description
  • To obtain the effective intrusion aware system with the minimal detection time, the proposed hybrid model exerts the machine learning techniques on the network transaction data to judge the scope of the intrusion. Specifically, it exploits the Vote algorithm with Information Gain to extract the optimal features. Subsequently, it utilizes the classifiers to acquire the improved accuracy.

  • To mitigate the time required to detect the intrusion

  • To enhance the performance.

+ Aim & Objectives
  • To mitigate the time required to detect the intrusion

  • To enhance the performance.

  • The framework of machine learning technique with the optimization techniques offers intrusion detection with better accuracy.

+ Contribution
  • The framework of machine learning technique with the optimization techniques offers intrusion detection with better accuracy.

  • 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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