An ensemble-based stegware detection system for information hiding malware attacks
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-023-04559-z.pdf
Reference28 articles.
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2. Caviglione L, Choras M (2020) Tight arms race: overview of current malware threats and trends in their detection. IEEE 9:5371–5396. https://doi.org/10.1109/ACCESS.2020.3048319
3. Caviglione L, Mazurczyk W, Repetto M, Schaffhauser A, Zuppelli M (2021) Kernel-level tracing for detecting stegomalware and covert channels in Linuxenvironments. Int J Comput Telecommun Netw. https://doi.org/10.1016/j.comnet.2021.108010
4. Chen M, Yang Y, Lei M, Dong Z (2020) Joint multi-domain feature learning for image steganalysis based on CNN. EURASIP J Image Video Process 2020:1–2
5. Chinnasamy P, Deepalakshmi P (2021) HCAC-EHR: hybrid cryptographic access control for secure EHR retrieval in healthcare cloud. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-021-02942-2
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