A Systematic Literature Review of Machine Learning Approaches for In-Browser Cryptojacking Detection

Nicesio, Otavio Kiyatake; Leal, Adriano Galindo

doi:10.1109/csnet59123.2023.10339740

2023 7th Cyber Security in Networking Conference (CSNet) 2023

DOI: 10.1109/csnet59123.2023.10339740

|View full text |Cite

A Systematic Literature Review of Machine Learning Approaches for In-Browser Cryptojacking Detection

Otavio Kiyatake Nicesio,

Adriano Galindo Leal

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Cybersecurity and Surveillance Strategies in the Banking Sector: The Threat of CryptoJacking and ENISA's Methodologies against the Dark Side of Cryptocurrencies

Youssef,

Ismail

2024

2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)

View full text Add to dashboard Cite

Cybersecurity and Surveillance Strategies in the Banking Sector: The Threat of CryptoJacking and ENISA's Methodologies against the Dark Side of Cryptocurrencies

Youssef,

Ismail

2024

2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)

View full text Add to dashboard Cite

Detecting Cryptomining Traffic in IoT Networks

Mannella,

Canavese,

Regano

2024

2024 9th International Conference on Smart and Sustainable Technologies (SpliTech)

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A Systematic Literature Review of Machine Learning Approaches for In-Browser Cryptojacking Detection

Cited by 2 publications

References 20 publications

Cybersecurity and Surveillance Strategies in the Banking Sector: The Threat of CryptoJacking and ENISA's Methodologies against the Dark Side of Cryptocurrencies

Cybersecurity and Surveillance Strategies in the Banking Sector: The Threat of CryptoJacking and ENISA's Methodologies against the Dark Side of Cryptocurrencies

Detecting Cryptomining Traffic in IoT Networks

Contact Info

Product

Resources

About