HARNESSING MACHINE LEARNING FOR CYBERSECURITY: HOW CONVOLUTIONAL NEURAL NETWORKS ARE REVOLUTIONIZING THREAT DETECTION AND DATA PRIVACY
Joseph Nnaemeka Chukwunweike, Praise Ayomide Ayodele, Bashirat Bukola Atata · International Journal of Research Publication and Reviews · 2024
This article examines the transformative role of machine learning, particularly convolutional neural networks (CNNs), in advancing cybersecurity measures.It explores how CNNs are being employed to enhance threat detection, offering superior accuracy in identifying malicious activities.The piece also delves into the implications for data privacy and information protection, discussing how these technologies can both secure and potentially expose sensitive data.Additionally, the article addresses the challenges of maintaining privacy integrity in the face of increasingly sophisticated AI-driven cybersecurity tools, and offers insights into future developments in the field.