Abstract

Malware that mines cryptocurrencies stealthily consumes system resources to mine virtual currencies, posing a growing danger to system security and performance. This research investigates the complexities of cryptocurrency mining malware through an in-depth literature review and analysis of detection strategies. The study examines the effectiveness of detection techniques, ranging from signature-based to behavior-based methods, using real-world cases as examples. Additionally, the research pinpoints the evasion techniques used by cryptocurrency miners and suggests novel approaches to improve detection efficiency and strengthen system defenses. System administrators and cybersecurity experts can leverage this study to better protect systems from cryptocurrency mining malware, with practical recommendations for detection and prevention strategies.