Database Information Security Storage Algorithm for Unattended Energy Platform
Due to the large amount of sensitive data stored in the database and the fact that unattended energy platform typically require data transmission and remote access through public networks,this increases the risk of being attacked by hackers.Ai-ming at the potential security threats during the information storage process of unattended energy platform,a database informa-tion security storage algorithm for unattended energy platform is proposed.Based on the concept of on-demand compression,an adaptive compression algorithm is established to calculate the energy platform data change mean during the sampling period,in order to determine the change in sampling frequency.This paper introduce the A* algorithm to optimize sampling frequency and adaptively collect and compress energy platform data.Combining dynamic key selection technology and chaotic encryption algorithm,This paper construct a dual encryption algorithm for encrypting database information which ensures the security of energy platform database information.By using strength and bandwidth occupancy probability to control ultra bandwidth stor-age and controlling ultra bandwidth gradient transmission based on minimum transmission granularity,the security storage of unattended energy platform database information is achieved.The experimental results show that the proposed algorithm has high storage security,short storage time,low communication cost,short average read and write delay,as well as high data in-tegrity.
unattended energy platformA* algorithminformation security storageinformation compressioninformation en-cryption