Enhancing Malware Detection by Integrating Machine Learning with Cuckoo Sandbox. (arXiv:2311.04372v1 [cs.CR])

In the modern era, malware is experiencing a significant increase in both its
variety and quantity, aligning with the widespread adoption of the digital
world. This surge in malware has emerged as a critical challenge in the realm
of cybersecurity, prompting numerous research endeavors and contributions to
address the issue. Machine learning algorithms have been leveraged for malware
detection due to their ability to uncover concealed patterns within vast
datasets. However, deep learning algorithms, characterized by their
multi-layered structure, surpass …

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