The UIT Information Security Laboratory

In the development of the Industrial Internet of Things (IIoT), cyber threats and attacks have become major issues and concerns in Industry 4.0 due to the negative impacts on the infrastructures and services across organizations. Nevertheless, due to the issues in preserving privacy and transparency, there is a lack of…

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MalDEX: An Explainable Malware Detection System Based on Ensemble Learning

2 năm trước

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On the effectiveness of transferability of adversarial Android malware samples against learning-based detectors

2 năm trước

In recent times, there has been a growing utilization of Machine Learning (ML) in the realm of malware detection. The Adversarial Example (AE) attack, which is widely acknowledged for undermining ML in diverse contexts, has demonstrated its effectiveness in evading or deceiving ML-based systems designed for malware detection. By ensuring…

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MalDEX: An Explainable Malware Detection System Based on Ensemble Learning

On the effectiveness of transferability of adversarial Android malware samples against learning-based detectors