Main Reference PaperMalware Detection in Cloud Computing Infrastructures, IEEE Transactions on Dependable and Secure Computing, 2016 [Java/Cloudsim].
  • Support Vector Machine (SVM) based anomaly detection approach is proposed in which features gathered at the system and network levels of a cloud node are utilized by applying dedicated detection components.

+ Description
  • Support Vector Machine (SVM) based anomaly detection approach is proposed in which features gathered at the system and network levels of a cloud node are utilized by applying dedicated detection components.

  • To resilient against security threats to cloud infrastructure.

  • To perform online anomaly detection using SVM.

+ Aim & Objectives
  • To resilient against security threats to cloud infrastructure.

  • To perform online anomaly detection using SVM.

  • A technique is integrated to the proposed approach that also measures the performance of the system.

+ Contribution
  • A technique is integrated to the proposed approach that also measures the performance of the system.

  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1, J2SE and Cloudsim 3.0.3.

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

  • Netbeans 8.0.1, J2SE and Cloudsim 3.0.3.

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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