Multilayer ransomware detection using grouped registry key operations, file entropy and file signature monitoring-Reference-Cited by-同舟云学术

Multilayer ransomware detection using grouped registry key operations, file entropy and file signature monitoring

Published:2020-04-21 Issue:3 Volume:28 Page:337-373
ISSN:1875-8924
Container-title:Journal of Computer Security
language:
Short-container-title:JCS

Author:

Jethva Brijesh¹,Traoré Issa¹,Ghaleb Asem¹,Ganame Karim²,Ahmed Sherif³

Affiliation:

1. Department of Electrical and Computer Engineering, University of Victoria, BC, Canada. E-mails: bjethva@uvic.ca, itraore@ece.uvic.ca, aghaleb@uvic.ca

2. Efficient Protections Inc., QC, Canada. E-mail: ganame@streamscan.io

3. Department of Computer Science, University of Windsor, ON, Canada. E-mail: Sherif.SaadAhmed@uwindsor.ca

Publisher

IOS Press

Subject

Computer Networks and Communications,Hardware and Architecture,Safety, Risk, Reliability and Quality,Software

Reference26 articles.

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3. Automatic Ransomware Detection and Analysis Based on Dynamic API Calls Flow Graph

4. A. Continella, A. Guagnelli, G. Zingaro, G. De Pasquale, A. Barenghi, S. Zanero and F. Maggi, ShieldFS: A self-healing, ransomware-aware filesystem, in: Proceedings of the 32nd Annual Conference on Computer Security Applications, ACM, 2016, pp. 336–347.

5. G. Cusack, O. Michel and E. Keller, Machine learning-based detection of ransomware using SDN, in: Proceedings of the 2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization, ACM, 2018, pp. 1–6.

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