A Security Risk Analysis Method for Information System Based on Information Entropy

Autor: Sha Fu, Wenbin Liu, Bo Li, Hangjun Zhou, Zhongli Liu
Rok vydání: 2015
Předmět:
Zdroj: The Open Cybernetics & Systemics Journal. 9:23-27
ISSN: 1874-110X
Popis: According to the problem of the uncertain information is difficult to quantify in information systems security risk analysis process, proposed an information system security risk analysis method based on information entropy. This method use information entropy to measure the risk of information systems, introduce the information entropy theory, and get the value of the risk of various risk factors with the combination of qualitative analysis and quantitative calculation, to evaluate the risk factors of concern in the system and take appropriate control measures. The paper constructs an informa- tion system security risk analysis model and through the case analysis verified the proposed method can be effectively ap- plied to information system security risk analysis.
Databáze: OpenAIRE