An intuitive way to unmask in-browser cryptojacking in network level using support vector machine (SVM) in machine learning

Abstract

Cryptocurrency mining is skyrocketed in the recent times. The hackers are turning their heads towards this type of attacks mainly through browser-based mining which makes them undetected. This leads to the increase in Electricity bills and heavy load on the computer processing. This can be avoided by disabling the java script in the device. The disabling Java Script leads to poor user experience of the websites as the websites in recent times are powered with Java Script frameworks. This paper discusses about a live network filtering tool which detects the illicit In-browser miningwithin the range of a network of devices.