CJSpector: A Novel Cryptojacking Detection Method Using Hardware Trace and Deep Learning

Author:

Ying Qianjin,Yu Yulei,Tian DonghaiORCID,Jia Xiaoqi,Ma Rui,Hu Changzhen

Funder

Strategic Priority Research Program of Chinese Academy of Sciences

National Key Research and Development Program of China

Beijing Municipal Science and Technology Commission

National Natural Science Foundation of China

CCF-NSFOCUS Kun-Peng Scientific Research Foundation

Open Found of Shanxi Military and Civilian Integration Software Engineering Technology Research Center

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Cited by 7 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. HRNN: Hypergraph Recurrent Neural Network for Network Intrusion Detection;Journal of Grid Computing;2024-05-17

2. Chronoweb: An open-source platform for analyzing temporal information diffusion on the web;SoftwareX;2024-05

3. Armor: Protecting Software Against Hardware Tracing Techniques;IEEE Transactions on Information Forensics and Security;2024

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

5. Unified Multi-Layered Model To Secure Computing Environments Against Cryptomining Malware;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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