Security evaluation framework for cloud ERP systems using NIST and ISO standards

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Authors: Adiah Qazi, Sadiqa Arshad, Ammad Ali Khan Jadoon
Cited by: 2
References: 12

Abstract

Enterprise Resource Planning (ERP) systems serve as critical infrastructure for modern organizations, yet their security assessment lacks standardized evaluation frameworks. This study develops and applies a structured Security Maturity Assessment Framework (SMAF) grounded in NIST Cybersecurity Framework (CSF) 2.0 and ISO/IEC 27001:2022 standards to evaluate eleven cloud-based and hybrid ERP platforms, including both full-suite ERP systems and widely adopted inventory and manufacturing management systems that serve as ERP alternatives for SMEs. Using a weighted multi-criteria decision analysis (MCDA) approach validated by expert surveys ([Formula: see text]) and vendor documentation analysis, we assess security across five domains: authentication mechanisms, encryption protocols, access control models, vulnerability management, and compliance certifications. Our framework introduces quantifiable security maturity scores ranging from 1 (basic) to 5 (advanced), enabling objective comparison across platforms. Results indicate that enterprise-grade solutions (Oracle NetSuite OneWorld, SAP Business One Professional, Microsoft Dynamics 365) achieve consistently higher security maturity scores ([Formula: see text], [Formula: see text]) compared to SME-targeted solutions ([Formula: see text], [Formula: see text]), though small per-segment sample sizes ([Formula: see text]-4) limit formal statistical inference. We extend our analysis to emerging security paradigms including Zero-Trust Architecture (ZTA) integration, federated learning for privacy-preserving analytics, blockchain-based audit trails, and digital twin implementations for Industry 5.0 alignment. The proposed SMAF provides organizations with an evidence-based methodology for ERP security evaluation, addressing a critical gap in both academic literature and practitioner guidance.

Fields of Study & Subjects

ERP Systems Implementation and Impact Information and Cyber Security Cloud Data Security Solutions

Publication details

Journal / source
Scientific Reports
Publisher
Springer Science and Business Media LLC
Volume
16
Issue
1
Publication date
3 April 2026
Language
EN