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A system call refinement-based enhanced Minimum Redundancy Maximum Relevance method for ransomware early detection

  • Published:2020-10 Issue: Volume:167 Page:102753
  • ISSN:1084-8045
  • Container-title:Journal of Network and Computer Applications
  • language:en
  • Short-container-title:Journal of Network and Computer Applications

Author:

Ahmed Yahye Abukar,Koçer Barış,Huda Shamsul,Saleh Al-rimy Bander Ali,Hassan Mohammad Mehedi

Funder

King Saud University

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference54 articles.

1. Minimum redundancy maximum relevancy versus score-based methods for learning Markov boundaries;Acid,2011

2. “Building a cryptovirus using Microsoft's cryptographic API;Adam,2005

3. Maxat Akbanov, Vassilios G. Vassilakis, Michael D. Logothetis, Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory Ransomware detection and mitigation using software-defined networking: the case of WannaCry Comput. Electr. Eng. Volume 76June 2019Pages 111-121.

4. A 0-day aware crypto-ransomware early behavioral detection framework;Al-rimy,2017

5. Ransomware threat success factors, taxonomy, and countermeasures: a survey and research directions;Al-rimy;Comput. Secur.,2018

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