Cryptojacking: Detection and Prevention Techniques

Cryptojacking has emerged as a significant cyber security threat in recent years, fuelled by the rise in popularity and value of cryptocurrencies. It refers to the unauthorized use of computing resources to mine cryptocurrencies, such as Bitcoin or Monero, without the knowledge or consent of the device owner. This illicit activity is typically facilitated by injecting malicious code into websites, ads, or software applications, allowing the code to silently run in the background and exploit the device’s processing power and energy resources for mining purposes. Cryptojacking can have detrimental effects, including decreased device performance, increased power consumption, and potential financial losses for victims. As a result, researchers and security experts have focused on developing effective detection and prevention techniques to mitigate the risks associated with cryptojacking. These techniques encompass various approaches, such as machine learning algorithms, behavior analysis, network monitoring, and user education. Collaboration among stakeholders, including industry, academia, and policymakers, is also crucial in addressing this evolving threat. Inclusive, understanding, and combating cryptojacking is essential to safeguard computing resources, protect individuals and organizations from financial losses, and ensure a secure digital environment in the face of an ever-changing cyber security landscape.