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Web-based Cryptomining Detection

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Conference

2021 ASEE Virtual Annual Conference Content Access

Location

Virtual Conference

Publication Date

July 26, 2021

Start Date

July 26, 2021

End Date

July 19, 2022

Conference Session

Computing and Information Technology Division Technical Session 2

Tagged Division

Computing and Information Technology

Page Count

14

Permanent URL

https://peer.asee.org/38036

Download Count

239

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Paper Authors

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Vijay Anand University of Missouri, St. Louis

biography

Dmytro Kudriashov EPAM Systems

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Dmytro Kudriashov is a Software Engineer at EPAM Systems in Seattle, WA. He received his BS (2004) ans MS (2006) in Banking and Financial Support Services from the Kyiv National Economics University, and his MS (2019) in Applied Computer Science from the Southeast Missouri State University. Since 2018 his research efforts have focused on the interconnection areas of cybersecurity and digital financial instruments.

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Abstract

A drastic surge on the cryptocurrency market of late 2017 and early 2018 lead to development and widespread implementation of web-based cryptomining. Initially providing a valid alternative to a regular advertisement-based forms of monetization, cryptomining quickly became a novelty form of malware by silently executing in the background without obtaining explicit consent from a user, an activity later became commonly known as drive-by mining or cryptojacking. To solve the issue of timely detection and prevention of cryptojacking, a number of in-browser solutions were developed, but neither of these achieved an absolute efficacy in eliminating targeted cybersecurity issues. This paper, provides a brief overview for this relatively newform of malware, analyzes technology used for browser cryptomining defined by two evolutionary phases of cryptojacking, and the financial reasoning behind this phenomenon. By examining the steps and stages of web-based cryptomining and distinguishing potential detectable characteristics, this paper attempts to outline possible preventive anti-malware approach that can be developed as a counter-measure to this online threat.

Anand, V., & Kudriashov, D. (2021, July), Web-based Cryptomining Detection Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://peer.asee.org/38036

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