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.


Pasteur, Drew

Second Advisor

Taylor, Max


Computer Science; Mathematics


Other Computer Engineering


cryptojacking, cryptocurrency, cryptomining, machine learning, blockchain, malware

Publication Date


Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis

I.S. labs.zip (8 kB)
code and csv's used


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