Feature Engineering and Computer Vision for Cybersecurity

Abstract

In cybersecurity, the fusion of feature engineering and computer vision presents a promising frontier. This study delves into their symbiotic relationship, highlighting their combined potential in bolstering cybersecurity measures. By examining tailored feature engineering techniques for intrusion detection, malware analysis, access control, and threat intelligence, this work sheds light on the transformative impact of visual data analysis on cybersecurity strategies. Harnessing feature engineering pipelines alongside computer vision algorithms unlocks novel avenues for threat detection, incident response, and risk mitigation. However, challenges such as overfitting, adversarial attacks, and ethical concerns necessitate ongoing research and innovation. This chapter lays the groundwork for future advancements in feature engineering for computer vision in cybersecurity, paving the way for more robust and resilient security solutions.