Advanced Approaches for Emerging Networks: Location Verification and Block-Based Resource Allocation

Background: The AA-LVBRA approach tackles security and performance issues in IoT networks by combining IoT-KEEPER with SDN and Open vSwitch (OVS). Conventional IoT security methods face challenges in rapid threat detection and effective resource management. Method Used: The LVS, which utilizes artificial intelligence, aids in detecting threats which helps to enhance the networks performance. It employs SDN for administration and OVS for handling packets. The model was evaluated using ns3. Results: The experimental findings indicated enhanced network performance, with throughput rising to 396.47 Kbps, network latency reducing to 82.14 ms, and routing optimized to 358.47 packets, with transmission accuracy increasing to 96.33 %. Conclusion: AA-LVBRA enhances the security of IoT networks, optimizes resource sharing, and boosts communication efficiency. Its application in transportation for smart cities appears promising results. Future studies on distributed systems are essential for improved resilience and scalability for that vision transformers models can be concentrated.