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Unveiling evasive malware behavior: toward generating a multi-sources benchmark dataset and evasive malware behavior profiling using network traffic and memory analysis

Crossref DOI link: https://doi.org/10.1007/s11227-025-07267-x

Published Online: 2025-04-26

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Habibi Lashkari, Arash https://orcid.org/0000-0002-1240-6433
Shafi, MohammadMoein https://orcid.org/0009-0001-5081-8068
Li, Yongkun https://orcid.org/0009-0001-3121-8710
Singh, Abhay Pratap https://orcid.org/0009-0005-2866-9819
Barkworth, Ashley
Funding

Funding for this research was provided by:

Canada Research Chairs (CRC-2021-00340)

Mitacs Global Internship
License Information

Text and Data Mining valid from 2025-04-26

Version of Record valid from 2025-04-26
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Article History

Accepted: 30 March 2025

First Online: 26 April 2025

Declarations

:

: The authors do not have any relevant conflict of interest to disclose concerning the content of this paper.

: This article does not involve any research studies conducted with human participants or animals by the authors.

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