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Malware Detection in Executable Files Using Machine Learning

  • Athiq Reheman MohammedEmail author
  • G. Sai Viswanath
  • K. Sai babu
  • T. Anuradha
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)

Abstract

Extrusion of personal or sensitive data by malicious software is causing a great damage to the world. This is a very critical issue for individuals as well as various sectors of the society at large. Hundreds and thousands of cyber attackers’ cross-swords for computer systems by dropping a bombshell of malware with an intention to rift crucial data. That is why, securing this data is an important issue for the researchers. This paper focuses on developing an application which can distinguish a malicious and legitimate file with the help of machine learning algorithms.

Keywords

Cyber attackers Extrusion Legitimate Malware Machine learning 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Athiq Reheman Mohammed
    • 1
    Email author
  • G. Sai Viswanath
    • 1
  • K. Sai babu
    • 1
  • T. Anuradha
    • 1
  1. 1.Velagapudi Ramakrishna Siddhartha Engineering CollegeVijayawadaIndia

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