Systematic Analysis of Integrity Threats and Defense Strategies in the Metaverse

• YoungSuk Jung,
• JunDong Lee,
• Meejin Kim,
• Sukwon Lee,

Vol. 19, No. 11, November 30, 2025
10.3837/tiis.2025.11.018, Download Paper (Free):

• Cross-Layer Defense
• integrity
• Metaverse
• Threat Analysis
• Security

Abstract

This study investigates integrity threats in metaverse platforms and proposes a structured defense framework. By classifying the metaverse environment into three layers, which are client, service, and infrastructure, we systematically identify specific threats, real-world cases, and suitable detection and verification methods for each. Client-layer risks include device rooting, app repackaging, memory patching, and firmware tampering, while the service layer faces threats such as session hijacking, media stream manipulation, avatar cloning, and asset transaction falsification. Infrastructure-layer risks involve container image tampering, edge node compromise, data synchronization interference, CDN (Content Delivery Network) manipulation, and cloud API forgery. The proposed approach integrates hardware-based verification, runtime integrity monitoring, hash-based consistency checks, and cross-layer propagation prevention. Additionally, policy recommendations address standardization, public infrastructure support, and AI-based behavior analysis. This research emphasizes that securing integrity across all layers, combined with inter-layer threat isolation, is critical to sustaining trust and resilience in metaverse ecosystems.

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