Andere Kunden interessierten sich auch für
![Optimizing Data Transmission in IoT Networks Using Advanced Techniques]( "Optimizing Data Transmission in IoT Networks Using Advanced Techniques")
Optimizing Data Transmission in IoT Networks Using Advanced Techniques56,99 €![Optimizing energy consumption of wireless access networks]( "Optimizing energy consumption of wireless access networks")
Optimizing energy consumption of wireless access networks56,99 €![Big Data - BigData 2018]( "Big Data - BigData 2018")
Big Data - BigData 201841,99 €![Cloud Computing Essentials]( "Cloud Computing Essentials")
Cloud Computing Essentials36,99 €![Cloud Computing]( "Cloud Computing")
Cloud Computing53,99 €![Optimizing Data-to-Learning-to-Action]( "Optimizing Data-to-Learning-to-Action")
Optimizing Data-to-Learning-to-Action25,99 €![Privacy-preserving and Untraceable Group Data Sharing Scheme in Cloud]( "Privacy-preserving and Untraceable Group Data Sharing Scheme in Cloud")
Privacy-preserving and Untraceable Group Data Sharing Scheme in Cloud31,99 €
Cloud issues and cloud storage are becoming more and more important today than ever before. In the cloud, it is very difficult to decide what data needs security or what data does not require security, but the level of security required for the data is classified according to the specifications and Data features will be easy. On the cloud server, all data is stored in one of two ways: encrypting the data and storing it in the cloud servers, and storing data on the cloud servers without encryption, both of which can Encounter confidentiality issues because data has different values and properties that need to be specified before sending to cloud servers. In a cloud environment, user data on remote servers that are not physically recognized by customers and stored over the Internet must have unique confidentiality levels. In this research, a cloud classification data model is proposed to solve the confidentiality issues in cloud computing environment. Data categorization and security issues are performed according to their level of sensitivity. One of the most important parameters in improving the quality of the proposed model is time management.