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Security implication of network slicing in 5g-Enabled IoT environment
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The Internet of Things (IoT) situation has changed drastically as a result of the deployment of 5G technology, that provides improved connectivity, scalability, and network slicing for service differentiation. The security implications of network slicing in 5G-enabled IoT systems are examined in this study, with a focus on the necessity of strong isolation measures. The contribution of important technologies like Network Function Virtualization (NFV) and Software-Defined Networking (SDN) to safe slice operation is assessed. The limitations of current methods are also addressed by a Dynamic Secure Isolation Framework (DSIF), which combines dynamic resource allocation, AI-driven threat detection, and Zero Trust Architecture to improve isolation and reduce vulnerabilities.
The investigation suggests new technologies like blockchain and quantum cryptography as viable solutions for the primary issues with secure slicing, including as cost, latency, and lifecycle complexity. The suggested framework lays the groundwork for upcoming IoT advancements by guaranteeing safe, scalable, and resilient slice operations. Proactive security measures should be prioritized, standardized standards should be developed together, and more research into economic isolation methods should be conducted. The security and dependability of 5G network slicing in IoT are improved by this study's findings.
Title: Security implication of network slicing in 5g-Enabled IoT environment
Description:
The Internet of Things (IoT) situation has changed drastically as a result of the deployment of 5G technology, that provides improved connectivity, scalability, and network slicing for service differentiation.
The security implications of network slicing in 5G-enabled IoT systems are examined in this study, with a focus on the necessity of strong isolation measures.
The contribution of important technologies like Network Function Virtualization (NFV) and Software-Defined Networking (SDN) to safe slice operation is assessed.
The limitations of current methods are also addressed by a Dynamic Secure Isolation Framework (DSIF), which combines dynamic resource allocation, AI-driven threat detection, and Zero Trust Architecture to improve isolation and reduce vulnerabilities.
The investigation suggests new technologies like blockchain and quantum cryptography as viable solutions for the primary issues with secure slicing, including as cost, latency, and lifecycle complexity.
The suggested framework lays the groundwork for upcoming IoT advancements by guaranteeing safe, scalable, and resilient slice operations.
Proactive security measures should be prioritized, standardized standards should be developed together, and more research into economic isolation methods should be conducted.
The security and dependability of 5G network slicing in IoT are improved by this study's findings.
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