In the past few years, artificial intelligence (AI) techniques have been implemented in almost
all verticals of human life. However, the results generated from the AI models often lag …

Abstract This research builds Security Information & Event Management (SIEM) based on
live analysis using machine learning on Intrusion Detection System (IDS). To implement a …

The main challenge for security information and event management (SIEM) is to find critical
security incidents among a huge number of false alerts generated from separate security …

Contemporary security information and event management (SIEM) solutions struggle to
identify critical security incidents effectively due to the overwhelming number of false alerts …

Security Incident and Event Manager (SIEM) is a security management approach designed
to identify possible threats within a real-time enterprise environment. The main challenge for …

The exponential growth of unstructured messages generated by the computer systems and
applications in modern computing environment poses a significant challenge in managing …

Security information and event management (SIEM) systems are generally used to monitor
the network for malicious activities. These systems are capable of detecting a wide range of …

This research builds a realtime and multi-agent system to handle Distributed Denial of
Service (DDoS) attacks. The integration of an Intrusion Detection System (IDS), Security …

Looking at recent cyber-attacks in the news, a growing complexity and sophistication of
attack techniques can be observed. Many of these attacks are performed in multiple steps to …

An important technique for attack detection in complex company networks is the analysis of
log data from various network components. As networks are growing, the number of …