Ensuring High Data Integrity for 5G-Enabled Telecom Services

Ensuring High Data Integrity for 5G-Enabled Telecom Services

Mahesh Mokale

Independent Researcher

Email: maheshmokale.mm@gmail.com

Abstract: The advent of 5G technology has revolutionized the telecommunications landscape by introducing ultra-low latency, high throughput, and support for a massive number of connected devices. These capabilities empower next-generation applications such as autonomous vehicles, remote healthcare, smart cities, and Industry 4.0. However, the same features that make 5G transformative also increase the complexity of ensuring data integrity across such expansive and fast-moving digital ecosystems. Data integrity—the assurance that data remains accurate, unaltered, and trustworthy—is a cornerstone of reliable communication and service delivery. In 5G-enabled environments, the vast amount of data exchanged in real-time across heterogeneous and distributed systems makes data integrity more critical and challenging than ever before. Sensitive information such as medical records, financial transactions, and autonomous navigation commands can have life-altering consequences if tampered with, lost, or misinterpreted. Given the expanded attack surface due to increased network entry points and edge computing nodes, safeguarding data integrity becomes paramount. This paper delves into the pressing need for robust data integrity mechanisms in 5G-enabled telecom ecosystems. It begins by identifying the high-stakes applications that rely heavily on uncompromised data. The discussion then extends into architectural design considerations, such as zero-trust models, network slicing, and end-to-end encryption, all of which are vital in isolating threats and ensuring data flows securely. Further, it evaluates the effectiveness of emerging technologies—including blockchain-based distributed ledgers for tamper-proof record keeping, AI-driven anomaly detection systems for real-time integrity validation, and secure edge computing to pre-process data before it reaches central nodes. In addition to technical measures, the paper explores the regulatory and operational frameworks needed to sustain high data integrity. This includes adherence to international standards like those from 3GPP and NIST, implementation of data governance models that define clear data ownership and control policies, and structured auditing mechanisms to continuously monitor and validate data. The goal of this research is to provide telecom operators, infrastructure providers, and policy makers with a comprehensive understanding of the multifaceted approach required to preserve data integrity in 5G networks. By aligning technological innovation with regulatory discipline and architectural foresight, the industry can proactively mitigate risks and deliver highly reliable and secure telecom services in the 5G era.

Keywords: 5G, Data Integrity, Telecom, Encryption, Blockchain, Anomaly Detection, Network Slicing, Edge Computing, Compliance, Zero Trust, Distributed Ledger, Secure Edge, Quantum-Resistant Cryptography, AI-Driven Monitoring, Service-Based Architecture, Policy Enforcement, Federated Learning, Incident Response, Data Governance, Threat Detection, Integrity Verification, Latency Trade-Offs, Secure APIs, Interoperability