A Next-Generation Deep Learning-Powered Security Operations Center (SOC) for Online Learning Platforms
Ali Radid, Mohamed El Ghazouani, Benlahmar Habib · Atlantis highlights in social sciences, education and humanities/Atlantis Highlights in Social Sciences, Education and Humanities · 2023
The digital landscape is experiencing a concerning surge in online threats, with their associated risks growing exponentially, especially within the realm of online learning platforms.These threats span a broad spectrum, ranging from sophisticated cyberattacks to pervasive phishing campaigns and insidious malware.In an era dominated by digitalization, no entity operating within online learning environments is immune to the reach of these threats.Recognizing the urgency of the situation is crucial, as inaction in the face of this escalating danger could have severe consequences, impacting not only the economy but also the privacy and security of individuals engaged in online learning.Effectively addressing the mounting threat landscape requires a multifaceted approach.Solutions must encompass advanced cybersecurity measures, robust threat intelligence, proactive risk management, and comprehensive awareness and training initiatives tailored to online education platforms.This article introduces an innovative approach to enhance Security Operations Centers (SOCs) specifically within the context of online learning platforms, harnessing the power of deep learning.By integrating cutting-edge deep learning techniques into the SOC framework, the goal is to significantly enhance the capability to detect, analyze, and respond to complex cybersecurity threats within the unique challenges of online education.This groundbreaking model leverages artificial intelligence to provide real-time threat intelligence, predictive analysis, and anomaly detection, thereby reinforcing the security posture of online learning platforms and fortifying their defenses against a rapidly evolving threat landscape.