The access control is used to ensure these data security when WSN (wireless sensor network) with a large number of base stations transmits huge amount of data to a data center server. Meanwhile big data systems are used to efficiently store, manage, and use data from large-scale WSNs. In big data systems for WSNs, the traditional access control technology will greatly affect the system performance. This paper first analyzes the data processing flow of the traditional access control strategy in big data systems, analyzes its time complexity, and explores how it affects system performance. Then, we propose the big data security access control algorithm based on memory index acceleration in WSNs which has better performance over the traditional ones. In our experiments, under the same test environment and security strategy, the performance has been greatly improved with the proposed algorithm.

当具有大量基站的WSN（无线传感器网络）将大量数据发送到数据中心服务器时，访问控制用于确保这些数据安全。同时，大数据系统用于有效地存储，管理和使用大型WSN的数据。在用于WSN的大数据系统中，传统的访问控制技术将极大地影响系统性能。本文首先分析了传统访问控制策略在大数据系统中的数据处理流程，分析了其时间复杂度，并探讨了它如何影响系统性能。然后，提出了一种基于WSN中内存索引加速的大数据安全访问控制算法，该算法具有优于传统算法的性能。在我们的实验中，在相同的测试环境和安全策略下，