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Abstract:

Presently, proposed analytical approaches within STE-InfoSec fail to address these critical challenges
inherent in adopting such methodologies in SOC operations and development. Firstly, a major hindrance
lies in the scarcity of labeled data, a prevalent gap not only within the cybersecurity domain but also
within the organization itself. The limited availability of cybersecurity-specific machine learning datasets
and imbalanced data distribution—where normal behavior significantly outweighs malicious instances—
poses a formidable obstacle for machine learning techniques

Author: JACOBSIvan