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Data Science for Malware Analysis
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In the continuously mutating landscape of cybersecurity, the surge of new malware poses daunting challenges. Each day heralds the arrival of numerous malware samples, each with potentially unique functionalities, signatures, and attack vectors. Manual malware analysis, with its time-consuming and intricate processes, struggles to keep pace. The future, therefore, appears to rest on the pillars of automation.
Traditional manual malware analysis entailed a meticulous dissection of malicious software. Analysts would study its behavior, ascertain its functionalities, and investigate the underlying code to comprehend its mechanisms. But the exponential rise in malware, buoyed by automated malware generation tools, means that manual methods are akin to using a bucket to empty an overflowing river. Let’s look at why manual processes are no longer viable:
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