A Survey of Attack Instances of Cryptojacking Targeting Cloud Infrastructure-Reference-Cited by-同舟云学术

A Survey of Attack Instances of Cryptojacking Targeting Cloud Infrastructure

Published:2020-01-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 2nd Asia Pacific Information Technology Conference
language:
Short-container-title:

Author:

Jayasinghe Keshani¹,Poravi Guhanathan²

Affiliation:

1. University of Westminster, London, UK

2. Informatics Institute of Technology, Colombo, Sri Lanka

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3379310.3379323

Reference36 articles.

1. Alzuri A. et al. The Growth of Fileless Malware. 5. Alzuri A. et al. The Growth of Fileless Malware. 5.

2. Barbhuiya S. et al. 2018. RADS: Real-time Anomaly Detection System for Cloud Data Centres. arXiv:1811.04481 [cs]. (Nov. 2018). Barbhuiya S. et al. 2018. RADS: Real-time Anomaly Detection System for Cloud Data Centres. arXiv:1811.04481 [cs]. (Nov. 2018).

3. Beware of Attackers Stealing Your Computing Power for their Cryptomining Operations: 2018. https://www.f5.com/labs/articles/threat-intelligence/beware-of-attackers-stealing-your-computing-power-for-their-cryptomining-operations.html. Accessed: 2019-11-17. Beware of Attackers Stealing Your Computing Power for their Cryptomining Operations: 2018. https://www.f5.com/labs/articles/threat-intelligence/beware-of-attackers-stealing-your-computing-power-for-their-cryptomining-operations.html. Accessed: 2019-11-17.

4. Cryptojacking and Crypto Mining - Tesla Kubernetes and Jenkins Exploits: 2018. https://neuvector.com/container-security/cryptojacking-crypto-mining-tesla-kubernetes-jenkins-exploits/. Accessed: 2019-11-16. Cryptojacking and Crypto Mining - Tesla Kubernetes and Jenkins Exploits: 2018. https://neuvector.com/container-security/cryptojacking-crypto-mining-tesla-kubernetes-jenkins-exploits/. Accessed: 2019-11-16.

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Examination of Traditional Botnet Detection on IoT-Based Bots;Sensors;2024-02-05

2. CryptojackingTrap: An Evasion Resilient Nature-Inspired Algorithm to Detect Cryptojacking Malware;IEEE Transactions on Information Forensics and Security;2024

3. Cryptojacking Detection in Cloud Infrastructure Using Network Traffic;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16

4. Flow based containerized honeypot approach for network traffic analysis: An empirical study;Computer Science Review;2023-11

5. A deep learning approach for host-based cryptojacking malware detection;Evolving Systems;2023-08-19