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Research and application of artificial intelligence based webshell detection model: A literature review
May 2, 2024, 4:11 a.m. | Mingrui Ma, Lansheng Han, Chunjie Zhou
cs.CR updates on arXiv.org arxiv.org
Abstract: Webshell, as the "culprit" behind numerous network attacks, is one of the research hotspots in the field of cybersecurity. However, the complexity, stealthiness, and confusing nature of webshells pose significant challenges to the corresponding detection schemes. With the rise of Artificial Intelligence (AI) technology, researchers have started to apply different intelligent algorithms and neural network architectures to the task of webshell detection. However, the related research still lacks a systematic and standardized methodological process, which …
application artificial artificial intelligence arxiv attacks challenges complexity cs.ai cs.cr cybersecurity detection intelligence literature nature network network attacks research review webshell webshells
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