The Role of Machine Learning and Deep Learning in Threat Detection
Omar Ali · Advances in information security, privacy, and ethics book series · 2024
In an increasingly digital world, the prevalence of cyber threats necessitates advanced solutions for effective threat detection and response. This chapter explores the critical role of machine learning (ML) and deep learning (DL) in enhancing cybersecurity practices. By leveraging algorithms that learn from data, these technologies enable the identification of anomalous patterns and behaviors that signify potential threats. The discussion encompasses various ML and DL techniques, their applications in threat detection, and the challenges faced in implementation. Furthermore, we analyze case studies demonstrating the efficacy of these technologies in real-world scenarios. Ultimately, this chapter underscores the significance of integrating ML and DL into cybersecurity frameworks to improve threat detection capabilities and foster a proactive security posture.