Abstract
Big data improves the function of information, but also increases the exposure of information leakage. From the perspective of information leakage, Information entropy is used to quantify information, and the quantitative index of security exposure are identified as mutual information, and a hierarchical exposure assessment model is established. With the help of local priority principle, classify the types of information leaks and attack methods, the mutual information is determined as quantitative indicators for the exposure of information disclosure. The security exposure of information leakage is evaluated by fuzzy comprehensive evaluation
Highlights
The concept and application of big data have gradually penetrated into the accounting field, and the big data has improved the function of information and the efficiency of accounting work
Big data and cloud computing the depth of the fusion, to promote the rapid development of the information system, but new information system, such as cloud accounting, is faced with some exposures, cloud accounting network information system is a special kind of information processing system, in addition to general information processing system of security features, and has its own characteristics for some security, in the process of information system development, the stability of the platform system, identity authentication and management of the loopholes and defects such as data encryption system security problems appear, is likely to be pregnant and exposure factor in the production of information[4]
The process of information leakage can be seen as the process of information entropy reduction, and the secret information entropy is reduced by the attack of the attacker's statistical analysis
Summary
The concept and application of big data have gradually penetrated into the accounting field, and the big data has improved the function of information and the efficiency of accounting work. The information of the big data era, the data sources is extensive, storage is relatively concentrated, contains a detailed record of accounting behavior, such as enterprise management data, customer information and privacy, big data had increased the exposure of information disclosure [1,2,3]. For complex and diversified information exposure in big data environment, this paper establishes the quantitative exposure assessment of a hierarchical model, effectively. The remainder of this paper is organized as follows: In Section 2, basic concepts of exposure assessment.
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