Main Reference PaperNovel Geometric Area Analysis Technique for Anomaly Detection using Trapezoidal Area Estimation on Large-Scale Networks, IEEE Transactions on Big Data, June 2017 [Java/Hadoop].
  • A novel Geometric Area Analysis (GAA) based detection a scalable framework is proposed to recognize abnormal patterns using Trapezoidal Area Estimation (TAE) for each observation computed from the parameters of the Beta Mixture Model (BMM).

+ Description
  • A novel Geometric Area Analysis (GAA) based detection a scalable framework is proposed to recognize abnormal patterns using Trapezoidal Area Estimation (TAE) for each observation computed from the parameters of the Beta Mixture Model (BMM).

  • To differentiate attack and normal pattern.

  • To perform anomaly detection over large scale networks.

+ Aim & Objectives
  • To differentiate attack and normal pattern.

  • To perform anomaly detection over large scale networks.

  • A technique of dynamic attack pattern detection is contributed.

+ Contribution
  • A technique of dynamic attack pattern detection is contributed.

  • Java JDK 1.8, MySQL 5.5.40,¬†Hadoop 1.2.1.

  • Netbeans 8.0.1, & J2EE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40,¬†Hadoop 1.2.1.

  • Netbeans 8.0.1, & J2EE.

  • 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-Depending on the complexity of the project and requirements.

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

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