INTELLIGENT AUDITING SYSTEM: A CENTRALIZED HYBRID HOST-BASED INTRUSION DETECTION SYSTEM.

The increasing sophistication of cyber threats necessitates advanced security mechanisms capable of detecting, analyzing, and responding to malicious activities in real time. This paper presents an Intelligent Auditing System: a Centralized Hybrid Host-Based Intrusion Detection System (HIDS) designed to enhance organizational cybersecurity through a combination of signature-based and anomaly-based detection techniques. The proposed system integrates multiple host-level monitoring agents deployed across networked endpoints, which continuous collect and transmit audit data to a centralized analysis server.
The hybrid detection model leverages predefined attack signatures to identify known threats while employing machine learning algorithms to detect deviations from normal system behavior, thereby enabling the discovery of previously unknown attacks. The centralized architecture and facilitates efficient data aggregation, correlation, and management, improving detection accuracy and reducing false positives. Additionally, the system incorporates real-time alerting and automated response mechanisms, allowing security administrators to respond promptly to potential breaches.
To ensure scalability and adaptability, the system is designed with modular components that support dynamic updates of detection rules and learning models. Performance evaluation demonstrates that the proposed Intelligent Auditing System achieves high detection rates with minimal system overhead, making it suitable for deployment in both small-scale and enterprise environments. Centralized hybrid host-based intrusion detection system for intelligent auditing
Furthermore, the system enhances forensic capabilities by maintaining detailed audit logs that support post-incident analysis and compliance requirements. By combining intelligent data analysis with centralized control, the proposed solution addresses key limitations of traditional host-based intrusion detection systems. Centralized intelligent hybrid host-based intrusion detection auditing system architecture
In conclusion, this research contributes a robust and adaptive intrusion detection framework that strengthens host-level security, improves threat visibility, and provides a proactive defense against evolving cyber threats in modern computing environments.