Paper Info
Title
Threshold estimation in self-destructing scheme using regression analysis.
Abstract
As technologies and services that leverage cloud computing evolve, more and more businesses or individuals are using them. However, as users increasingly use and store personal information in cloud storage, research on privacy protection models in the cloud environment is becoming more important. A self-destructing scheme has been proposed to prevent the decryption of encrypted user data after a certain period of time using a DHT network. However, the existing privacy protection model does not mention the method of setting the threshold value considering the availability and security of the data. Therefore, in this paper, we propose an optimal threshold finding method considering both data availability and security of privacy protection model by applying regression analysis.
Year
Venue
Keywords
2017
Asia-Pacific Network Operations and Management Symposium-APNOMS
Self-Destructing Scheme,DHT Network,Privacy Protection,Regression Analysis
Field
DocType
ISSN
Leverage (finance),Computer security,Computer science,Regression analysis,Threshold limit value,Computer network,Encryption,Cloud computing security,Personally identifiable information,Cloud storage,Cloud computing
Conference
2576-8565
Citations 
PageRank 
References 
0
0.34
4
Authors
2
Name
Order
Citations
PageRank
Young Ki Kim100.68
Choong Seon Hong22044277.88