In Data We Trust: Leveraging Large Scale Analytics for Intrusion Detection

With almost 40% of UK businesses experiencing a cyber-attack in 2020, the need for accurate and rapid detection of attacks is evident. However, traditional signature-based IDS systems are inefficient at detecting advanced threats due to the time involved in verifying and distributing signatures. Similarly, first-generation SIEM systems show limitations when processing big data, and sophisticated attacks go undetected. This paper introduces and explores large-scale data analysis and machine learning tools within intrusion detection.