Main Reference PaperYes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection, IEEE Transactions on Dependable and Secure Computing, 2017.
  • The proposed method learns several evenly-distributed feature weights to enhance linear classifiers’ security. In accordance with, it presents the Secure Support Vector Machine (SVM) referred to Sec-SVM to protect Itself from the evasion attacks in the malware detection

+ Description
  • The proposed method learns several evenly-distributed feature weights to enhance linear classifiers’ security. In accordance with, it presents the Secure Support Vector Machine (SVM) referred to Sec-SVM to protect Itself from the evasion attacks in the malware detection

  • To evade the evasion attacks

  • To retain scalability and computational efficiency

+ Aim & Objectives
  • To evade the evasion attacks

  • To retain scalability and computational efficiency

  • To incorporate the weight parameter to show the importance of absolute features.

+ Contribution
  • To incorporate the weight parameter to show the importance of absolute features.

  • 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.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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