Limitations of Web Cryptojacking Detection: A Practical Evaluation

Author:

Rajba Pawel1,Mazurczyk Wojciech2

Affiliation:

1. University of Wroclaw, Poland

2. Warsaw University of Technology, Poland

Publisher

ACM

Reference17 articles.

1. Weikang Bian , Wei Meng , and Mingxue Zhang . 2020. MineThrottle: Defending against Wasm In-Browser Cryptojacking . Association for Computing Machinery , New York, NY, USA , 3112–3118. https://doi.org/10.1145/3366423.3380085 10.1145/3366423.3380085 Weikang Bian, Wei Meng, and Mingxue Zhang. 2020. MineThrottle: Defending against Wasm In-Browser Cryptojacking. Association for Computing Machinery, New York, NY, USA, 3112–3118. https://doi.org/10.1145/3366423.3380085

2. Cryptomining makes noise: Detecting cryptojacking via Machine Learning

3. You Could Be Mine(d): The Rise of Cryptojacking

4. Domhnall Carlin , Philip O’Kane , Sakir Sezer , and Jonah Burgess . 2018 . Detecting Cryptomining Using Dynamic Analysis. In 2018 16th Annual Conference on Privacy, Security and Trust (PST). 1–6. https://doi.org/10 .1109/PST.2018.8514167 10.1109/PST.2018.8514167 Domhnall Carlin, Philip O’Kane, Sakir Sezer, and Jonah Burgess. 2018. Detecting Cryptomining Using Dynamic Analysis. In 2018 16th Annual Conference on Privacy, Security and Trust (PST). 1–6. https://doi.org/10.1109/PST.2018.8514167

5. Trends and Challenges in Network Covert Channels Countermeasures

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2. A Systematic Literature Review of Machine Learning Approaches for In-Browser Cryptojacking Detection;2023 7th Cyber Security in Networking Conference (CSNet);2023-10-16

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