Design and Construction of a Computer Network Security System Using the Intrusion Detection System (IDS) Method

Abstract

In today's digital era, cyber threats such as malware, unauthorized access, and distributed denial-of-service (DDoS) attacks pose significant risks to organizations and individuals. Traditional security measures like firewalls and encryption provide a foundational defense but often fail to detect sophisticated and evolving cyberattacks. This research focuses on the design and construction of a computer network security system using the Intrusion Detection System (IDS) method, aiming to enhance threat detection and mitigation capabilities. The study explores a hybrid IDS framework that combines signature-based, anomaly-based, and machine learning techniques to improve detection accuracy while minimizing false positive and false negative rates. The system is tested in a controlled network environment using real-world cybersecurity datasets to evaluate its effectiveness in identifying various attack patterns. Performance metrics such as detection accuracy, system resource utilization, and response time are analyzed to assess the efficiency of the proposed IDS model. The research findings demonstrate that the optimized IDS framework significantly enhances network security by providing real-time monitoring, adaptive threat analysis, and automated response mechanisms. Compared to traditional IDS models, the proposed system shows improved accuracy in identifying emerging threats while reducing unnecessary false alarms. Additionally, the study discusses the feasibility of integrating the IDS into cloud-based infrastructures and IoT networks, ensuring broader applicability in modern cybersecurity frameworks. This research contributes to the field of network security by developing an efficient and adaptable IDS-based security system, addressing current cybersecurity challenges, and offering insights for future improvements in threat detection technologies. The findings highlight the importance of advanced IDS mechanisms in strengthening digital defense systems and protecting organizations from evolving cyber threats.