Author:
Deng XiZhen,Cen MingCan,Jiang M.,Lu Meiqu
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Reference41 articles.
1. Teymourlouei, H.: Preventative measures in cyber & ransomware attacks for home & small businesses’ data. In: Proceedings of the international conference on scientific computing (CSC), pp. 87–93 (2018)
2. Ganta, V.G., Harish, G.V., Kumar, V.P., Rao, G.R.K.: Ransomware detection in executable files using machine learning. In: Proceedings of the IEEE 2020 international conference on recent trends on electronics, information, communication & technology (RTEICT), pp. 282–286 (2020)
3. Hwang, J., Kim, J., Lee, S., Kim, K.: Two-stage ransomware detection using dynamic analysis and machine learning techniques. Wirel. Pers. Commun. 112(4), 2597–2609 (2020)
4. Tencent: Ransomware attack white paper: characteristics, trends and solutions (2021)
5. Zahoora, U., Rajarajan, M., Pan, Z., Khan, A.: Zero-day ransomware attack detection using deep contractive autoencoder and voting based ensemble classifier. Appl. Intell. 52, 1–20 (2022)
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