EXPLAINABLE FEDERATED ARTIFICIAL INTELLIGENCE FOR PRIVACY-PRESERVING CYBERSECURITY AND CRITICAL INFRASTRUCTURE PROTECTION IN PAKISTAN

Abstract

The increasing frequency and sophistication of cyber threats pose significant challenges to the security and resilience of critical infrastructure systems worldwide. In Pakistan, the growing digitalization of sectors such as energy, telecommunications, finance, transportation, and public services has heightened the need for advanced cybersecurity solutions that ensure both effective threat detection and data privacy. This study examines the role of Explainable Federated Artificial Intelligence (EFAI) in enhancing privacy-preserving cybersecurity and critical infrastructure protection in Pakistan. Drawing upon the Technology–Organization–Environment (TOE) Framework, the study proposes and empirically tests a model linking Federated Artificial Intelligence, Cyber Threat Detection Effectiveness, Explainable Artificial Intelligence, and Critical Infrastructure Cyber Resilience. A quantitative cross-sectional research design was employed, and data were collected from cybersecurity professionals and technology experts working in critical infrastructure sectors. The findings indicate that Federated Artificial Intelligence significantly improves cyber threat detection capabilities and enhances organizational cyber resilience. The results further reveal that Cyber Threat Detection Effectiveness mediates the relationship between Federated Artificial Intelligence and Cyber Resilience, while Explainable Artificial Intelligence strengthens this relationship by increasing transparency, interpretability, and trust in AI-driven cybersecurity decisions. The study contributes to the emerging literature on trustworthy and privacy-preserving artificial intelligence and provides practical insights for organizations and policymakers seeking to strengthen national cybersecurity capabilities. The findings underscore the strategic importance of integrating federated learning and explainable AI technologies to develop resilient, secure, and privacy-conscious critical infrastructure systems.