Main Reference PaperClassification of ransomware families with machine learning based on N-gram of opcodes, Future Generation Computer Systems, 2019.[Python]
  • In order to discover and categorize the ransomware, the proposed method employs the static method. Initially, it transforms the ransomware samples into the N-gram sequences and, frequency-Inverse document frequency (TF-IDF ) term is computed to obtain better segregation. Eventually, it fed as input to the machine learning technique for the classification of ransomware.

Description
  • In order to discover and categorize the ransomware, the proposed method employs the static method. Initially, it transforms the ransomware samples into the N-gram sequences and, frequency-Inverse document frequency (TF-IDF ) term is computed to obtain better segregation. Eventually, it fed as input to the machine learning technique for the classification of ransomware.

  • To identify and categorize the ransomware

  • To accomplish the great accuracy

Aim & Objectives
  • To identify and categorize the ransomware

  • To accomplish the great accuracy

  • The proposed technique further explores the discrimination between opcodes over the various ransomware families.

Contribution
  • The proposed technique further explores the discrimination between opcodes over the various ransomware families.

  • 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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