Cybersecurity-aware log management system for critical water infrastructures

Dural Balta D., Balta Kaç S., Balta M., Oğur N. B., Eken S.

Applied Soft Computing, vol.169, 2025 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 169
  • Publication Date: 2025
  • Doi Number: 10.1016/j.asoc.2024.112613
  • Journal Name: Applied Soft Computing
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC
  • Keywords: Big data, Critical infrastructure protection, Cybersecurity-aware log management, Machine learning, Security analytics
  • Kocaeli University Affiliated: Yes

Abstract

Cyber threats are increasingly targeting critical water infrastructures, requiring robust cybersecurity measures to ensure the continuous and safe delivery of water services. This paper presents a comprehensive, cybersecurity-aware log management system specifically designed for critical water infrastructures. The system leverages advanced data collection, analysis, and real-time monitoring to effectively detect and mitigate cyber threats. Key features include integration with existing infrastructure, scalability to handle large volumes of log data, and machine learning algorithms for enhanced threat detection and response. Our solution demonstrated significant improvements in threat detection accuracy, response times, and overall system resilience through rigorous testing in real-world scenarios. This paper discusses the design, implementation, and performance evaluation of the proposed log management system, highlighting its potential to strengthen the cybersecurity posture of critical water infrastructures.