Cryptojacking is a process in which a program utilizes a user’s CPU to mine cryptocurrencies unknown to the user. Since cryptojacking is a relatively new problem and its impact is still limited, very little has been done to combat it. Multiple studies have been conducted where a cryptojacking detection system is implemented, but none of these systems have truly solved the problem. This thesis surveys existing studies and provides a classification and evaluation of each detection system with the aim of determining their pros and cons. The result of the evaluation indicates that it might be possible to bypass detection of existing systems by modifying the cryptojacking code. In addition to this classification, I developed an automatic code instrumentation program that replaces specific instructions with functionally similar sequences as a way to show how easy it is to implement simple obfuscation to bypass detection by existing systems.
Details
- Cryptojacking Detection: A Classification and Comparison of Malicious Cryptocurrency Mining Detection Systems
- Larson, Kent Merle (Author)
- Bazzi, Rida (Thesis director)
- Shoshitaishvili, Yan (Committee member)
- Computer Science and Engineering Program (Contributor)
- Barrett, The Honors College (Contributor)