Abstract
With the rapid development of network technology, personal information security issues are becoming increasingly prominent. In large-scale data transmission and high-concurrency scenarios, encryption processing has become one of the performance bottlenecks for network nodes. How to allocate encryption resources reasonably to balance the load of network nodes is an urgent problem that needs to be solved. This study conducted in-depth research on optimizing network node encryption performance and resource allocation strategy based on the RSA algorithm. Firstly, optimize the encryption performance by optimizing the parameter selection of the RSA algorithm, selecting appropriate public and private key lengths, and reducing unnecessary computational overhead. At the same time, introducing fast power algorithm optimization accelerates the encryption and decryption. At the same time, a load-aware resource allocation algorithm is designed to monitor the real-time load situation of network nodes, dynamically adjust the allocation of encryption resources, and ensure that each node can balance the processing of encryption tasks in high concurrency scenarios. In order to verify the effectiveness of the optimization strategy, a simulation experimental environment was set up, and many experiments were conducted. The experimental results show that through algorithm-level optimization and hardware acceleration, the encryption performance of the RSA algorithm has been significantly improved, and the encryption speed has been increased by about 30%. Meanwhile, the load-aware resource allocation strategy effectively balances the load of the network nodes, reduces the overall response time of the system, and improves the overall performance of the system.
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