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Data Science for Malware Analysis
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The cybersecurity landscape is in a perpetual state of flux. As technology becomes more ingrained in our daily lives, the avenues for malicious cyberattacks expand in tandem. At the core of almost every device we use is the OS, a critical piece of software that manages hardware resources and provides services for computer programs. With the evolving threat matrix, the need to bolster defenses at the very nucleus of our devices – the OS – becomes even more pressing. The future of malware detection, thus, seems inevitably tied to deeper OS-level integrations.
Traditional malware detection methods have revolved around signature-based techniques. These rely on known patterns or “signatures” of malware. When a piece of software or a file matches this signature, it’s flagged as malicious. While effective against known threats, this method struggles...
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