AI-Enhanced Intrusion Detection Systems for Protecting SQL and NoSQL Databases from Cyber Threats

Abstract

The rapid advancement of database technologies has led to an increased adoption of SQL and NoSQL databases. With this adoption, however, comes heightened risk from cyber threats. Intrusion Detection Systems (IDS) play a crucial role in safeguarding these databases. This paper explores the integration of Artificial Intelligence (AI) into IDS to enhance protection for SQL and NoSQL databases. It examines various AI techniques, compares their effectiveness, and presents a comprehensive framework for deploying AI-enhanced IDS in database environments.