The power of obfuscation techniques in malicious JavaScript code: A measurement study. MALWARE '12: Proceedings of the 2012 7th International Conference on ...
Jul 21, 2023 · Our original dataset consists of samples from different sources. The malicious samples in the original dataset consist of the malware collection ...
When machine learning is employed to learn a malicious JavaScript detector, these additional features can affect the model to make it less effective. However, ...
Our approach combines static detection with machine learning technique, to analyze and extract malicious script features,and use the machine learning technology ...
Jul 17, 2023 · Our original dataset consists of samples from di erent sources. The malicious samples in the original dataset consist of the malware collection ...
An Empirical Study on the Effects of Obfuscation on Static Machine Learning-Based Malicious JavaScript Detectors ... empirical study to figure out how obfuscation ...
[2023.03] Our paper "JSRevealer: A Robust Malicious JavaScript Detector against Obfuscation" is accepted by DSN'2023 ... Malware Detection Based on API Intimacy ...
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Content may be subject to copyright. Obfuscated Malicious JavaScript Detection by Machine Learning ... In this paper, we present an empirical study of a ...
An Empirical Study on the Effects of Obfuscation on Static Machine Learning-Based Malicious JavaScript Detectors ... empirical study to figure out how obfuscation ...
An Empirical Study on the Effects of Obfuscation on Static Machine Learning-Based Malicious JavaScript Detectors ... An empirical study on bugs in JavaScript ...