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A three-level ransomware detection and prevention mechanism

Ren, Amos; Liang, Chong; Hyug, Im Jun; Brohi, Sarfraz Nawaz; Jhanjhi, N. Z.

Authors

Amos Ren

Chong Liang

Im Jun Hyug

Sarfraz Nawaz Brohi

N. Z. Jhanjhi



Abstract

Ransomware encrypts victim's files or locks users out of the system. Victims will have to pay the attacker a ransom to decrypt and regain access to the user files. Petya targets individuals and companies through email attachments and download links. NotPetya has worm-like capabilities and exploits EternalBlue and EternalRomance vulnerabilities. Protection methods include vaccination, applying patches, et cetera. Challenges faced to combat ransomware include social engineering, outdated infrastructures, technological advancements, backup issues, and conflicts of standards. Three- Level Security (3LS) is a solution to ransomware that utilizes virtual machines along with browser extensions to perform a scan, on any files that the user wishes to download from the Internet. The downloaded files would be sent over a cloud server relay to a virtual machine by a browser extension. Any changes to the virtual machine after downloading the file would be observed, and if there were a malfunction in the virtual machine, the file would not be retrieved to the user's system.

Journal Article Type Article
Acceptance Date Dec 29, 2019
Online Publication Date Jan 14, 2020
Publication Date Jan 14, 2020
Deposit Date Sep 9, 2022
Publicly Available Date Sep 9, 2022
Journal EAI Endorsed Transactions on Energy Web
Electronic ISSN 2032-944X
Peer Reviewed Peer Reviewed
Volume 7
Issue 26
Pages 162691
DOI https://doi.org/10.4108/eai.13-7-2018.162691
Keywords Malware, Petya, Ransomware, Security, Virtual Machine
Public URL https://uwe-repository.worktribe.com/output/9941010
Publisher URL https://eudl.eu/doi/10.4108/eai.13-7-2018.162691

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A three-level ransomware detection and prevention mechanism (2.2 Mb)
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Licence
http://creativecommons.org/licenses/by/3.0/

Publisher Licence URL
http://creativecommons.org/licenses/by-nc/3.0/

Copyright Statement
Copyright © 2020 Amos Loh Yee Ren et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.





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