Main Reference PaperMultiple Instance Learning for Malware Classification, Expert Systems with Applications, 2018 [Java/Python/R]
  • This work presents an approach for malware sample representation based on the interactions with the system resources. It employs the Multiple Instance Learning (MIL) especially, vocabulary based method along with the similarity measures to detect the unique properties of the resource types. It enforces the malware classification with the help of the fast approximation of the Louvain clustering technique that defines the vocabulary. This work analyzes the operating system and network resources such as registry keys, network server operations, error messages generated by the operating system, mutexes, and file operations.

Description
  • This work presents an approach for malware sample representation based on the interactions with the system resources. It employs the Multiple Instance Learning (MIL) especially, vocabulary based method along with the similarity measures to detect the unique properties of the resource types. It enforces the malware classification with the help of the fast approximation of the Louvain clustering technique that defines the vocabulary. This work analyzes the operating system and network resources such as registry keys, network server operations, error messages generated by the operating system, mutexes, and file operations.

  • To improve the accuracy of the malware classification

  • To reduce the impact of the randomization in the malware detection

Aim & Objectives
  • To improve the accuracy of the malware classification

  • To reduce the impact of the randomization in the malware detection

  • To transform the malware samples into a low-dimensional space, this work builds the vocabulary by combining the similarities and clustering of resource names.

Contribution
  • To transform the malware samples into a low-dimensional space, this work builds the vocabulary by combining the similarities and clustering of resource names.

  • Operating system: Ubuntu / Windows

  • Language: Java

Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Language: Java

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

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