scholarly journals Research on Privacy Security Risk Assessment Method of Mobile Commerce Based on Information Entropy and Markov

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Tao Zhang ◽  
Kun Zhao ◽  
Ming Yang ◽  
Tilei Gao ◽  
Wanyu Xie

To obtain precise personalized services in mobile commerce, the users have to disclose their personal information to the operator, which constitutes a potential threat to their privacy security. In this paper, a mobile commerce privacy security risk assessment model is established based on information entropy and Markov chain, and effective security risk measurement, and assessment method is put forward. Our method can provide accurate and quantitative results in assessing privacy disclosure risk to guide the users’ selection of safe mobile commerce applications and protect their privacy security.

2010 ◽  
Vol 108-111 ◽  
pp. 948-953 ◽  
Author(s):  
Hao Yuan

Based on the research of domestic and foreign vulnerability assessment systems, in this paper, we propose an improved network security assessment method based on Immunity algorithm. It integrates the advantages of both host based and network based scan system. Our goal is to explore the known security vulnerabilities, and to check hosts’ security effectively as well. It has the features of self-adaptive, distributed, and real time. Therefore, it provides a good solution to risk assessment for network security.


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