Malicious Mining Behavior Detection System of Encrypted Digital Currency Based on Machine Learning

With the gradual increase of malicious mining, a large amount of computing resources are wasted, and precious power resources are consumed maliciously. Many detection methods to detect malicious mining behavior have been proposed by scholars, but most of which have pure defects and need to collect s...

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Autores principales:	Mu Bie, Haoyu Ma
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/e5bebfbaee27470fb5e23bf375ad2a5e
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id	oai:doaj.org-article:e5bebfbaee27470fb5e23bf375ad2a5e
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spelling	oai:doaj.org-article:e5bebfbaee27470fb5e23bf375ad2a5e2021-11-29T00:56:37ZMalicious Mining Behavior Detection System of Encrypted Digital Currency Based on Machine Learning1563-514710.1155/2021/2983605https://doaj.org/article/e5bebfbaee27470fb5e23bf375ad2a5e2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2983605https://doaj.org/toc/1563-5147With the gradual increase of malicious mining, a large amount of computing resources are wasted, and precious power resources are consumed maliciously. Many detection methods to detect malicious mining behavior have been proposed by scholars, but most of which have pure defects and need to collect sensitive data (such as memory and register data) from the detected host. In order to solve these problems, a malicious mining detection system based on network timing signals is proposed. When capturing network traffic, the system does not need to know the contents of data packets but only collects network flow timing signals, which greatly protects the privacy of users. Besides, we use the campus network to carry out experiments, collect a large amount of network traffic data generated by mining behavior, and carry out feature extraction and data cleaning. We also collect traffic data of normal network behavior and combine them after labeling. Then, we use four machine learning algorithms for classification. The final results show that our detection system can effectively distinguish the normal network traffic and the network traffic generated by mining behavior.Mu BieHaoyu MaHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Mu Bie Haoyu Ma Malicious Mining Behavior Detection System of Encrypted Digital Currency Based on Machine Learning
description	With the gradual increase of malicious mining, a large amount of computing resources are wasted, and precious power resources are consumed maliciously. Many detection methods to detect malicious mining behavior have been proposed by scholars, but most of which have pure defects and need to collect sensitive data (such as memory and register data) from the detected host. In order to solve these problems, a malicious mining detection system based on network timing signals is proposed. When capturing network traffic, the system does not need to know the contents of data packets but only collects network flow timing signals, which greatly protects the privacy of users. Besides, we use the campus network to carry out experiments, collect a large amount of network traffic data generated by mining behavior, and carry out feature extraction and data cleaning. We also collect traffic data of normal network behavior and combine them after labeling. Then, we use four machine learning algorithms for classification. The final results show that our detection system can effectively distinguish the normal network traffic and the network traffic generated by mining behavior.
format	article
author	Mu Bie Haoyu Ma
author_facet	Mu Bie Haoyu Ma
author_sort	Mu Bie
title	Malicious Mining Behavior Detection System of Encrypted Digital Currency Based on Machine Learning
title_short	Malicious Mining Behavior Detection System of Encrypted Digital Currency Based on Machine Learning
title_full	Malicious Mining Behavior Detection System of Encrypted Digital Currency Based on Machine Learning
title_fullStr	Malicious Mining Behavior Detection System of Encrypted Digital Currency Based on Machine Learning
title_full_unstemmed	Malicious Mining Behavior Detection System of Encrypted Digital Currency Based on Machine Learning
title_sort	malicious mining behavior detection system of encrypted digital currency based on machine learning
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/e5bebfbaee27470fb5e23bf375ad2a5e
work_keys_str_mv	AT mubie maliciousminingbehaviordetectionsystemofencrypteddigitalcurrencybasedonmachinelearning AT haoyuma maliciousminingbehaviordetectionsystemofencrypteddigitalcurrencybasedonmachinelearning
_version_	1718407742094311424

Malicious Mining Behavior Detection System of Encrypted Digital Currency Based on Machine Learning

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