most citedPerformance analysis of Machine learning algorithms for predicting malware

19 citations

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cs.CR2026★ 12 cited

ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection

Md Faisal Ahmed, Zarin Tasnim Biash, Abu Raihan Shakil +4

The rapid advancement of modern technology has led to a significant increase in the use of smart devices, such as smartphones and tablets, resulting in the widespread adoption of m…

cs.CR2026★ 19 cited

Performance analysis of Machine learning algorithms for predicting malware

ABM. Adnan Azmee, Pranto Protim Choudhury, Md. Aosaful Alam +2

Malware poses a persistent and evolving threat to modern computing systems, making accurate and timely detection a critical cybersecurity challenge. Traditional signature-based ant…