Ecological Big Data Panorama Fusion Technology Based on Symmetric Encryption Adaptive Algorithm

Abstract

AbstractWith the rapid development and improvement of domestic e-commerce, e-government and other information platforms, the public pay more and more attention to network security. At present, the sharing of data information has become an important task of information construction. Through the panoramic fusion of big data, the social information and environmental business information obtained have been exchanged, which provides a rich data information source for environmental business analysis. However, it involves the security of data transmission which is vulnerable to hacker attacks. Based on this, this paper proposes a solution of ecological big data panoramic fusion technology based on symmetric encryption adaptive algorithm, which helps to improve the security of data transmission on the network. This paper studies that under the influence of big data, the network ecosystem will face great changes, and deeply analyzes the industrial environment, operation mode, information transmission security and other characteristics of the ecosystem under the background of big data era. The research shows that through the panoramic fusion of ecological big data and exchange of social information, the construction of an environmental ecological big data analysis system based on symmetric encryption adaptive algorithm to transmit user password provides rich data information sources for environmental business analysis, and it is also an upgrading and overlapping process in the development process of environmental informatization.KeywordsSymmetric encryptionAdaptive algorithmEcological big dataPanoramic fusion