TY - GEN
T1 - Securing Saudi Arabian Government E-Service Najiz Portal (Ministry of Justice) from Cyber Threats Using AI
AU - Aldossary, Aljawharah M.
AU - Alqahtani, Khulud Mohammed
AU - Alshammari, Dalal
AU - Saqib, Nazar Abbas
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Najiz Portal is an e-service delivery platform of Saudi Arabia's Ministry of Justice. It occupies a central role in the digital transformation program of Vision 2030 of the Kingdom. It nonetheless remains under cyberattack threats such as phishing (38% of attacks in 2023) and ransomware (an 11% increase since 2020) because of traditional cyber defense mechanisms. Some threats could compromise sensitive legal data, weaken public trust, and potentially affect national security; hence it calls for an urgent need to stay one step ahead with advanced proactive defenses. The concern of this study is to suggest an artificial intelligence solution for the security architecture of the Najiz Portal to complement it and rank competitively with internationally acknowledged systems such as X-Road in Estonia and SingPass in Singapore. The study outlines some major discrepancies between Najiz, which has 30% threat detection accuracy and 4.5 hours of response time, as against 95% accuracy and 0.1 hours response time of the AI systems. Among others, it proposes the application of machine learning for anomaly detection, behavioral biometrics, and automated incident response so as to save by prevention of breaches, $4.1 million per annual. The phased implementation approach during 2024 and 2026 shall be guided by Vision 2030 with directives on building local AI capacity, training the workforce, and threats mitigation in the Arabic language. This study shows the opportunities presented by AI for the transformation of Najiz into an impressive e-service with global competitiveness while addressing some region-specific challenges.
AB - Najiz Portal is an e-service delivery platform of Saudi Arabia's Ministry of Justice. It occupies a central role in the digital transformation program of Vision 2030 of the Kingdom. It nonetheless remains under cyberattack threats such as phishing (38% of attacks in 2023) and ransomware (an 11% increase since 2020) because of traditional cyber defense mechanisms. Some threats could compromise sensitive legal data, weaken public trust, and potentially affect national security; hence it calls for an urgent need to stay one step ahead with advanced proactive defenses. The concern of this study is to suggest an artificial intelligence solution for the security architecture of the Najiz Portal to complement it and rank competitively with internationally acknowledged systems such as X-Road in Estonia and SingPass in Singapore. The study outlines some major discrepancies between Najiz, which has 30% threat detection accuracy and 4.5 hours of response time, as against 95% accuracy and 0.1 hours response time of the AI systems. Among others, it proposes the application of machine learning for anomaly detection, behavioral biometrics, and automated incident response so as to save by prevention of breaches, $4.1 million per annual. The phased implementation approach during 2024 and 2026 shall be guided by Vision 2030 with directives on building local AI capacity, training the workforce, and threats mitigation in the Arabic language. This study shows the opportunities presented by AI for the transformation of Najiz into an impressive e-service with global competitiveness while addressing some region-specific challenges.
KW - AI cybersecurity
KW - E-government security
KW - Najiz Portal
UR - https://www.scopus.com/pages/publications/105031618514
U2 - 10.1109/ICCR67387.2025.11292183
DO - 10.1109/ICCR67387.2025.11292183
M3 - Conference contribution
AN - SCOPUS:105031618514
T3 - ICCR 2025 - 3rd International Conference on Cyber Resilience
BT - ICCR 2025 - 3rd International Conference on Cyber Resilience
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Cyber Resilience, ICCR 2025
Y2 - 3 July 2025 through 4 July 2025
ER -