Cover Image

The summer heat of cryptojacking season : Detecting cryptojacking using heatmap and fuzzy

Cryptojacking is a subset of cybercrime in which hackers use unauthorised devices (computers, smartphones, tablets, and even servers) to mine cryptocurrencies. Similar to many other forms of cybercrime, the objective of cryptojacking is achieve profit illegally. It is also designed to remain entirel...

Full description

Saved in:
Bibliographic Details
Main Authors: Ahmad Firdaus, Zainal Abidin, Aldharhani, Ghassan Saleh, Zahian, Ismail, Mohd Faizal, Ab Razak
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/39105/1/The%20summer%20heat%20of%20cryptojacking%20season_Detecting%20cryptojacking.pdf
http://umpir.ump.edu.my/id/eprint/39105/2/The%20summer%20heat%20of%20cryptojacking%20season_Detecting%20cryptojacking%20using%20heatmap%20and%20fuzzy_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39105/
https://doi.org/10.1109/ICCR56254.2022.9995891
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.39105
record_format eprints
spelling my.ump.umpir.391052023-11-14T03:57:31Z http://umpir.ump.edu.my/id/eprint/39105/ The summer heat of cryptojacking season : Detecting cryptojacking using heatmap and fuzzy Ahmad Firdaus, Zainal Abidin Aldharhani, Ghassan Saleh Zahian, Ismail Mohd Faizal, Ab Razak QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Cryptojacking is a subset of cybercrime in which hackers use unauthorised devices (computers, smartphones, tablets, and even servers) to mine cryptocurrencies. Similar to many other forms of cybercrime, the objective of cryptojacking is achieve profit illegally. It is also designed to remain entirely concealed from the victim's view. However, its attacks continue to evolve and spread, and their number continues to rise. Therefore, it is essential to detect cryptojacking malware, as it poses a significant risk to users. However, in machine learning intelligence detection, an excessive number of insignificant features will diminish the detection's accuracy. For machine learning-based detection, it's important to find important features in a minimal amount of data. This study therefore proposes the Pearson correlation coefficient (PMCC), a measure of the linear relationship between all features. After that, this study employs the heatmap method to visualise the PMCC value as a colour version of heat. We utilised The Fuzzy Lattice Reasoning (FLR) classifier for classification algorithms in machine learning. This experiment utilised actual cryptojacking samples and achieved a 100 percent detection accuracy rate in simulation. Institute of Electrical and Electronics Engineers Inc. 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39105/1/The%20summer%20heat%20of%20cryptojacking%20season_Detecting%20cryptojacking.pdf pdf en http://umpir.ump.edu.my/id/eprint/39105/2/The%20summer%20heat%20of%20cryptojacking%20season_Detecting%20cryptojacking%20using%20heatmap%20and%20fuzzy_ABS.pdf Ahmad Firdaus, Zainal Abidin and Aldharhani, Ghassan Saleh and Zahian, Ismail and Mohd Faizal, Ab Razak (2022) The summer heat of cryptojacking season : Detecting cryptojacking using heatmap and fuzzy. In: International Conference on Cyber Resilience, ICCR 2022, 6-7 October 2022 , Dubai. pp. 1-5. (185824). ISBN 978-166546122-1 https://doi.org/10.1109/ICCR56254.2022.9995891
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Ahmad Firdaus, Zainal Abidin
Aldharhani, Ghassan Saleh
Zahian, Ismail
Mohd Faizal, Ab Razak
The summer heat of cryptojacking season : Detecting cryptojacking using heatmap and fuzzy
description Cryptojacking is a subset of cybercrime in which hackers use unauthorised devices (computers, smartphones, tablets, and even servers) to mine cryptocurrencies. Similar to many other forms of cybercrime, the objective of cryptojacking is achieve profit illegally. It is also designed to remain entirely concealed from the victim's view. However, its attacks continue to evolve and spread, and their number continues to rise. Therefore, it is essential to detect cryptojacking malware, as it poses a significant risk to users. However, in machine learning intelligence detection, an excessive number of insignificant features will diminish the detection's accuracy. For machine learning-based detection, it's important to find important features in a minimal amount of data. This study therefore proposes the Pearson correlation coefficient (PMCC), a measure of the linear relationship between all features. After that, this study employs the heatmap method to visualise the PMCC value as a colour version of heat. We utilised The Fuzzy Lattice Reasoning (FLR) classifier for classification algorithms in machine learning. This experiment utilised actual cryptojacking samples and achieved a 100 percent detection accuracy rate in simulation.
format Conference or Workshop Item
author Ahmad Firdaus, Zainal Abidin
Aldharhani, Ghassan Saleh
Zahian, Ismail
Mohd Faizal, Ab Razak
author_facet Ahmad Firdaus, Zainal Abidin
Aldharhani, Ghassan Saleh
Zahian, Ismail
Mohd Faizal, Ab Razak
author_sort Ahmad Firdaus, Zainal Abidin
title The summer heat of cryptojacking season : Detecting cryptojacking using heatmap and fuzzy
title_short The summer heat of cryptojacking season : Detecting cryptojacking using heatmap and fuzzy
title_full The summer heat of cryptojacking season : Detecting cryptojacking using heatmap and fuzzy
title_fullStr The summer heat of cryptojacking season : Detecting cryptojacking using heatmap and fuzzy
title_full_unstemmed The summer heat of cryptojacking season : Detecting cryptojacking using heatmap and fuzzy
title_sort summer heat of cryptojacking season : detecting cryptojacking using heatmap and fuzzy
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39105/1/The%20summer%20heat%20of%20cryptojacking%20season_Detecting%20cryptojacking.pdf
http://umpir.ump.edu.my/id/eprint/39105/2/The%20summer%20heat%20of%20cryptojacking%20season_Detecting%20cryptojacking%20using%20heatmap%20and%20fuzzy_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39105/
https://doi.org/10.1109/ICCR56254.2022.9995891
_version_ 1822923826115117056
score 13.235362

Similar Items