SecureLog: Open-Source Security Information and Event Management (SIEM) Solution for Enhanced Threat Detection and Incident Response

Abstract

Purpose of the study: As organizations face increasingly sophisticated and persistent cyber threats, the need for robust Security Information and Event Management (SIEM) solutions becomes paramount. This paper presents "SecureLog," an open-source SIEM solution designed to enhance threat detection and incident response capabilities.
 Methodology: This paper explores the architecture and components of SecureLog, detailing its data collection and log management capabilities. It examines the threat detection algorithms employed, emphasizing real-time event correlation and alerting mechanisms. The paper addresses the scalability and performance considerations associated with deploying SecureLog in large-scale environments.
 Main Findings: The findings highlight the benefits of using fuzzy logic in cyber threat intelligence and pave the way for further research and development in this promising field. The future prospects and challenges of integrating fuzzy logic with other advanced technologies such as machine learning and artificial intelligence.
 Applications of this study: SecureLog emerges as a valuable open-source SIEM solution, empowering organizations with enhanced threat detection and incident response capabilities. With its feature-rich architecture and active community support, SecureLog proves to be a reliable choice for organizations seeking to fortify their cybersecurity defences.
 Novelty/Originality of this study: The paper also includes practical use cases and case studies to demonstrate the effectiveness of SecureLog in enhancing threat detection and incident response. Security and compliance considerations, including data privacy and regulatory compliance, are examined, along with recommendations for securing the SecureLog deployment.