Abstract
Cryptojacking is a type of malware that has been increasing popular in the past decade. It quietly runs in the backgrounds of innocent people’s computers while mining cryptocurrency at the cost of decreasing the lifespan of those computers. Being able to detect such attacks is becoming important as time goes on. Using past works as inspiration, we attempt to replicate and improve the dynamic systems that have been used to detect cryptomining malware. Our methods proved to have a high recall, but will still need to be investigated further to become more optimal.
Advisor
Pasteur, Drew
Second Advisor
Taylor, Max
Department
Computer Science; Mathematics
Recommended Citation
Fickes, Chase D., "Detecting Cryptojacking Malware" (2023). Senior Independent Study Theses. Paper 10504.
https://openworks.wooster.edu/independentstudy/10504
Disciplines
Other Computer Engineering
Keywords
cryptojacking, cryptocurrency, cryptomining, machine learning, blockchain, malware
Publication Date
2023
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
code and csv's used
© Copyright 2023 Chase D. Fickes