Main Reference PaperSpamdoop: A privacy-preserving Big Data platform for collaborative spam detection,IEEE Transactions on Big Data, 2018 [Python/Hadoop]
  • To detect the spam and preserving the privacy of e-mail content, the Distance-preserving hashes are proposed. However, distance-preserving hashes are not scalable, thus making large-scale collaborative solutions difficult to implement. As a solution, this work proposes Spamdoop, a Big Data privacy-preserving collaborative spam detection platform built on top of a standard Map Reduce facility.

Description
  • To detect the spam and preserving the privacy of e-mail content, the Distance-preserving hashes are proposed. However, distance-preserving hashes are not scalable, thus making large-scale collaborative solutions difficult to implement. As a solution, this work proposes Spamdoop, a Big Data privacy-preserving collaborative spam detection platform built on top of a standard Map Reduce facility.

  • To detect the spam in e-mail.

  • To preserve the privacy of e-mails and enables the spam detection.

Aim & Objectives
  • To detect the spam in e-mail.

  • To preserve the privacy of e-mails and enables the spam detection.

  • Java JDK 1.8, MySQL 5.5.40, Hadoop 1.2.1.

  • Netbeans 8.0.1 & J2SE.

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

  • Netbeans 8.0.1 & J2SE.

  • 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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