International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 11 | Nov 2025
p-ISSN: 2395-0072
www.irjet.net
Security Challenges and Solutions in 5G Network Slicing ANAND R MSc Computer Science Student, St. Thomas (Autonomous) College, Thrissur 680001, Kerala, India ---------------------------------------------------------------------***--------------------------------------------------------------------security challenges that must be addressed to ensure reliable Abstract - 5G network slicing enables the creation of and secure operations.
multiple virtualized network segments over a common physical infrastructure, providing tailored services for diverse applications such as enhanced mobile broadband, ultrareliable low-latency communication, and massive IoT. While this architecture offers flexibility and efficient resource utilization, it also introduces significant security concerns. Key issues include inadequate slice isolation, vulnerabilities in inter-slice communication, dynamic resource management risks, and new attack surfaces in multi-tenant environments. Traditional security measures are insufficient to handle the dynamic and software-driven nature of 5G slices, necessitating adaptive and intelligent security frameworks. Emerging solutions leverage Machine Learning (ML) and Artificial Intelligence (AI) for real-time anomaly detection and predictive threat mitigation. Blockchain-based approaches enhance decentralized trust, secure authentication, and auditability in slice orchestration. Additionally, zero-trust architectures and automated policy enforcement ensure continuous monitoring and access control across the slice lifecycle. Future advancements will focus on scalable, intelligent, and interoperable security mechanisms, including standardized protocols, edge security integration, and quantum-resistant encryption. By combining ML-driven threat detection, blockchain trust management, and robust isolation, 5G networks can achieve resilient and secure network slicing to fully realize their potential.
The literature extensively discusses these challenges and highlights the growing importance of security in network slicing. The paper “Security in 5G Network Slices: Concerns and Opportunities” provides a foundational perspective on how the virtualization and multi-tenancy inherent in network slicing introduce risks such as inadequate slice isolation, misconfigurations, and vulnerabilities in inter-slice communication. As slices share the same underlying infrastructure, a breach in one slice could potentially impact other slices if isolation mechanisms fail. Similarly, dynamic resource allocation and automated slice lifecycle management can create new attack surfaces, including unauthorized access and malicious resource exploitation. Complementing this perspective, the work “5G Network Slicing: A Security Overview” categorizes the key threats according to the 5G architecture layers and highlights the limitations of traditional security frameworks in this highly dynamic environment. It emphasizes that the reliance on software-defined networking (SDN), network function virtualization (NFV), and automated orchestration requires adaptive, slice-specific security solutions. The paper also stresses the importance of continuous monitoring, policy enforcement, and end-to-end protection across all layers of the network. Building on these foundational studies, the recent survey “ML-Based 5G Network Slicing Security: A Comprehensive Survey” explores modern approaches that leverage Artificial Intelligence (AI) and Machine Learning (ML) to enhance security in 5G slices. These technologies enable real-time anomaly detection, predictive threat mitigation, and automated response mechanisms. The survey also examines the use of blockchain for decentralized trust management, secure authentication, and transparent auditing of slice operations. By integrating AI and blockchain with zero-trust principles, 5G networks can achieve stronger isolation, reduced attack exposure, and proactive defense strategies.
Key Words: 5G Network Slicing, Security Challenges, Machine Learning, Blockchain
1. INTRODUCTION The fifth generation of mobile networks (5G) represents a major technological leap in the field of wireless communication, enabling high-speed connectivity, ultra-low latency, and support for massive Internet of Things (IoT) deployments. One of the most transformative features of 5G is network slicing, which allows the creation of multiple, virtualized, and independent network segments over a shared physical infrastructure. Each slice can be tailored to meet the performance and reliability requirements of diverse services, such as enhanced mobile broadband (eMBB), ultra-reliable low-latency communications (URLLC), and massive machine-type communications (mMTC). By efficiently allocating network resources, network slicing enables operators to serve multiple industries and use cases on a single 5G infrastructure. However, while this paradigm unlocks significant opportunities, it also introduces new
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Securing 5G network slicing involves addressing several critical issues simultaneously. First, slice isolation must be rigorously enforced to ensure that a compromise in one slice does not propagate to others. Second, dynamic resource management must be secured against misconfigurations and malicious exploitation. Third, inter-slice communication channels need protection from eavesdropping and data leakage. Traditional perimeter-based security models are insufficient in such a dynamic and virtualized environment, necessitating more intelligent and adaptive solutions.
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