A deep learner model for multi-language webshell detection

A Hannousse, MC Nait-Hamoud… - International Journal of …, 2023 - Springer
Webshell attacks are becoming more and more prevalent every year. Webshells are
malicious scripts injected into web servers in the aim to confiscate persistent and remote …

Research and application of artificial intelligence based webshell detection model: A literature review

M Ma, L Han, C Zhou - arxiv preprint arxiv:2405.00066, 2024 - arxiv.org
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 …

Enhancing Webshell Detection With Deep Learning-Powered Methods

HL Viet, OV Phung, HN Nguyen - arxiv preprint arxiv:2412.05532, 2024 - arxiv.org
Webshell attacks are becoming more common, requiring robust detection mechanisms to
protect web applications. The dissertation clearly states two research directions: scanning …

The Robustness of Machine Learning Models Using MLSecOps: A Case Study On Delivery Service Forecasting

A Saputra, E Suryani… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Forecasting delivery services is a key aspect of modern delivery service operations that
significantly contributes to the optimization of operations and the enhancement of customer …

A code refactoring and machine learning based approach for the detection of PHP malware

O Mrabet - 2024 - dspace.univ-guelma.dz
The proliferation of malware has necessitated advanced techniques for detection and
prevention. This research investigates the impact of refactoring PHP code on the …

[PDF][PDF] ENHANCING WEBSHELL DETECTION WITH DEEP LEARNING-POWERED METHODS

NN Hoa, DP Van On - uet.io.vn
The increasing prevalence of webshell attacks poses a significant threat to web application
security, necessitating the development of robust detection mechanisms. The dissertation …