Cryptojacking detection using CPU Utilization as a target attribute with machine learning techniques

Bhosale, Snehal Sarjerao (2022) Cryptojacking detection using CPU Utilization as a target attribute with machine learning techniques. Masters thesis, Dublin, National College of Ireland.

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Abstract

The new cybersecurity attack, in which the enemy illegally uses crypto-mining software on devices users are unaware of, is known as cryptojacking which proved to be very effective in view of the ease of use of the crypto-client device. A few resistance measures have previously introduced, with distinctive capabilities and functionality, although all are signalized by a host-based structure. These sorts of services, established to guard each user, are not meant to effectively protect the business network.

Malicious hackers are presently using cryptojacking to their advantage. This sort of virus infiltrates users' machines despite their knowledge. It frequently attacks websites and uses complex CPU computations to generate bitcoins in the account of a computer hacker who corporates without accounting for the energy required. This sort of violence degrades system productivity and potentially impair the equipment's lifespan. A revolutionary method for detecting cryptojacking has been proposed, which involves tracking the CPU utilization of accessed internet sites. The research was successful in achieving measures like accuracy and precision close to 1 by incorporating a range of CPU measuring characteristics with the deployment of a scanning device.

This report proposed a Machine Learning (ML)-based framework aiming at finding activities related to cryptocurrencies. In view of the magnitude and severity of the prepared threat it is believed that the concept, substantiated by impressive gains, will pave the ground for more study in this domain.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Cryptojacking; Cryptomining; CPU monitoring; Decision tree; Random Forest etc.
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HG Finance > Money > Currency H Social Sciences > HV Social pathology. Social and public welfare > Criminology > Crimes and Offences > Cyber Crime
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Clara Chan
Date Deposited:	24 Nov 2022 19:43
Last Modified:	24 Nov 2022 19:43
URI:	https://norma.ncirl.ie/id/eprint/5936

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