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Classifying Memory Based Injections using Machine Learning

Author

Listed:
  • Doddagadduvalli Prasanna Amogh

    (Malnad College of Engineering, India)

  • Boraiah Ramesh

    (Malnad College of Engineering, India)

  • Rajanahally Jayakumar Bhuvan

    (Malnad College of Engineering, India)

  • Prasad Yash Vardhan

    (National Institute of Technology, India)

  • Anil Apekshith

    (Malnad College of Engineering, India)

Abstract

This research paper explores the application of machine learning techniques to classify memory-based injection attacks. By leveraging process list data, the study focuses on distinguishing between injected and non-injected processes. Through feature engineering and training a machine learning model, the research aims to enable accurate identification of memory injection, aiding in proactive threat detection and mitigating the risk of malicious activities in computer systems.

Suggested Citation

  • Doddagadduvalli Prasanna Amogh & Boraiah Ramesh & Rajanahally Jayakumar Bhuvan & Prasad Yash Vardhan & Anil Apekshith, 2023. "Classifying Memory Based Injections using Machine Learning," European Journal of Engineering and Technology Research, European Open Science, vol. 8(5), pages 74-83, September.
    • Handle: RePEc:epw:ejeng0:v:8:y:2023:i:5:id:63077
    DOI: 10.24018/ejeng.2023.8.5.3077
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