Learning Technologies: Toward Machine Learning and Deep Learning for Cybersecurity

This chapter explores the transformative landscape of learning technologies, focusing specifically on machine learning and deep learning techniques used in cybersecurity. As digital threats become increasingly sophisticated and complex, conventional cybersecurity approaches are becoming inadequate. The chapter explores how machine learning and deep learning algorithms can enhance threat detection, anomaly analysis, and overall security posture. Using key concepts and methodologies, the chapter describes how advanced technologies can be used to strengthen cyber defenses, providing insights into the challenges, opportunities, and future prospects of machine learning and deep learning-based cybersecurity modeling. The overall goal is not only to explore the state of machine learning and relevant methodologies but also to highlight their potential for enhancing cybersecurity in the future. This chapter thus contributes to the ongoing discussion about how to strengthen digital landscapes against an ever-evolving cyber threat landscape by exploring cutting-edge advancements in learning technologies.