Main Reference PaperSpamdoop: A privacy-preserving Big Data platform for collaborative spam detection, IEEE Transactions on Big Data, June 2017 [Java].
  • A privacy-preserving spam detection platform Spamdoop, on top of a standard Map Reduce facility is proposed that overcomes the drawbacks of traditional distance-preserving hash solution and enable scalability in detection. 

+ Description
  • A privacy-preserving spam detection platform Spamdoop, on top of a standard Map Reduce facility is proposed that overcomes the drawbacks of traditional distance-preserving hash solution and enable scalability in detection. 

  • To ensure privacy preserving scalable spam detection.

  • To overcome the drawback of traditional distance-preserving hash solution.

+ Aim & Objectives
  • To ensure privacy preserving scalable spam detection.

  • To overcome the drawback of traditional distance-preserving hash solution.

  • A clustering algorithm is contributed to accurately identify the source of spam.

+ Contribution
  • A clustering algorithm is contributed to accurately identify the source of spam.

  • 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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