Research of cloud computing security in digital library

2013 ◽  
Author(s):  
Qingjie Meng ◽  
Changqing Gong
Keyword(s):  
Cloud Computing ◽  
Digital Library ◽  
Cloud Computing Security

scholarly journals A cloud computing separation model based on information flow

Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 128-134 ◽  
Author(s):  
Wei Ma ◽  
Huanqin Li ◽  
Deden Witarsyah
Keyword(s):  
Cloud Computing ◽  
Information Flow ◽  
End Users ◽  
Separation Mechanism ◽  
Computing Systems ◽  
Cloud Computing Security ◽  
Model Based ◽  
Separation Model

Abstract Separation is the primary consideration in cloud computing security. A series of security and safety problems would arise if a separation mechanism is not deployed appropriately, thus affecting the confidence of cloud end-users. In this paper, together with characteristics of cloud computing, the separation issue in cloud computing has been analyzed from the perspective of information flow. The process of information flow in cloud computing systems is formalized to propose corresponding separation rules. These rules have been verified in this paper and it is shown that the rules conform to non-interference security, thus ensuring the security and practicability of the proposed rules.

A note on cloud computing security

2020 ◽  
Vol 33 (3) ◽  
pp. 133
Author(s):  
Deepak Garg ◽  
Jagpreet Sidhu ◽  
Shalli Rani
Keyword(s):  
Cloud Computing ◽  
Cloud Computing Security

Reinforcement Learning for Cloud Computing Digital Library

2014 ◽  
Vol 571-572 ◽  
pp. 105-108
Author(s):  
Lin Xu
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Reinforcement Learning ◽  
Digital Library ◽  
Learning Algorithms ◽  
Experimental Results ◽  
Current Status ◽  
Self Learning ◽  
New Framework

This paper proposes a new framework of combining reinforcement learning with cloud computing digital library. Unified self-learning algorithms, which includes reinforcement learning, artificial intelligence and etc, have led to many essential advances. Given the current status of highly-available models, analysts urgently desire the deployment of write-ahead logging. In this paper we examine how DNS can be applied to the investigation of superblocks, and introduce the reinforcement learning to improve the quality of current cloud computing digital library. The experimental results show that the method works more efficiency.

Successful Adoption of Cloud Computing Security Model for SMEs in Libya

2021 ◽  
Author(s):  
Abdulhafid Bughari Abdulkarim Abdulgadr ◽  
Abdullah Khalifa Mohamed Hamad ◽  
Mansour Khalifa Hamad Mohamed
Keyword(s):  
Cloud Computing ◽  
Security Model ◽  
Cloud Computing Security

Cloud computing security and privacy: Standards and regulations

2017 ◽  
Vol 54 ◽  
pp. 1-2 ◽  
Author(s):  
Yong Yu ◽  
Atsuko Miyaji ◽  
Man Ho Au ◽  
Willy Susilo
Keyword(s):  
Cloud Computing ◽  
Security And Privacy ◽  
Cloud Computing Security ◽  
Standards And Regulations
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