Big data security access control algorithm based on memory index acceleration in WSNs

Jianhua Peng,Qingjie Meng,Hui Zhou,Jingli Yang

doi:10.1186/s13638-020-01725-1

Abstract

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.

Highlights

A wireless sensor network (WSN) is an autonomous wireless communication system composed of a large number of micro-sensor nodes with limited computing capacity, storage capacity, and communication capability [1]
In order to improve the security of data transmission in wireless sensor networks, a decision transmission scheme was proposed in [26] to enhance collaborative spectrum sensing in industrial IoT and established a cooperative spectrum sensing mathematical model based on decision transmission, which was added packet error and packet loss factors
When the number of strategies reaches 25, the system performance drops by 14.09%. These results prove that the impact of access control algorithms on the performance of big data systems is gradually increasing with the number of policies increases

Summary

Introduction

A wireless sensor network (WSN) is an autonomous wireless communication system composed of a large number of micro-sensor nodes with limited computing capacity, storage capacity, and communication capability [1]. It takes a relatively long time when the binary tree is used to obtain permissions from a large amount of metadata in big data systems It can improve the performance of permission acquisition in the big data access control process by parameterizing user function attributes to reduce the number of permission policies [22]. This method will limit the design and application scope of access control policies. The third contribution is to update the second-level cache and index content to ensure the effectiveness of policy changes In this way, the access control authority efficiency will be greatly improved without affecting the security of access control.

Related work

Proposed method

Conclusions