MineHunter: A Practical Cryptomining Traffic Detection Algorithm Based on Time Series Tracking-Reference-Cited by-同舟云学术

MineHunter: A Practical Cryptomining Traffic Detection Algorithm Based on Time Series Tracking

Published:2021-12-06 Issue: Volume: Page:
ISSN:
Container-title:Annual Computer Security Applications Conference
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Author:

Zhang Shize¹,Wang Zhiliang²,Yang Jiahai²,Cheng Xin²,Ma XiaoQian³,Zhang Hui²,Wang Bo²,Li Zimu²,Wu Jianping²

Affiliation:

1. Tsinghua University, China

2. Tsinghua University

3. Beijing Wuzi University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485832.3485835

Reference40 articles.

1. AbuseIPDB. 2021. AbuseIPDB. https://www.abuseipdb.com/ AbuseIPDB. 2021. AbuseIPDB. https://www.abuseipdb.com/

2. Just the Tip of the Iceberg

3. Maurantonio Caprolu Simone Raponi Gabriele Oligeri and Roberto Di Pietro. 2020. Cryptomining Makes Noise: a Machine Learning Approach for Cryptojacking Detection. arxiv:1910.09272 [cs.CR] Maurantonio Caprolu Simone Raponi Gabriele Oligeri and Roberto Di Pietro. 2020. Cryptomining Makes Noise: a Machine Learning Approach for Cryptojacking Detection. arxiv:1910.09272 [cs.CR]

4. CoinMine.pl. 2016. Zcash ANONYMOUS MINING. https://www2.coinmine.pl/zec/index.php CoinMine.pl. 2016. Zcash ANONYMOUS MINING. https://www2.coinmine.pl/zec/index.php

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