Crytojacking classification based on machine learning algorithm
The rise of cryptocurrency has resulted in a number of concerns. A new threat known as cryptojacking" has entered the picture where cryptojacking malware is the trend for future cyber criminals, who infect computers, install cryptocurrency miners, and use stolen information from victim database...
Saved in:
Main Authors: | Wan Mansor, Wan Nur Aaisyah, Ahmad, Azuan, Zainudin, Wan Shafiuddin, Mohd. Saudi, Madihah, Kama, Mohd. Nazri |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/89932/1/MohdNazriKama2020_CrytojackingClassificationbasedonMachineLearning.pdf http://eprints.utm.my/id/eprint/89932/ http://dx.doi.org/10.1145/3390525.3390537 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cloud co-residency denial of service threat detection
inspired by artificial immune system
by: Ahmad, Azuan, et al.
Published: (2018) -
State of the art intrusion detection system for cloud computing
by: Ahmad, Azuan, et al.
Published: (2018) -
Stroke Classification using Machine Learning
by: Kuan, Rachel Khye Xin
Published: (2019) -
Assessing the efficacy of machine learning algorithms for syncope classification: A systematic review
by: Goh, Choon-Hian, et al.
Published: (2024) -
AUTOMATED NEWS CLASSIFICATION USING MACHINE LEARNING
by: ASOGAN, ARVIN KUMAR
Published: (2020)