Data Access Control on Clouds

2014 ◽  
Vol 556-562 ◽  
pp. 6275-6280
Author(s):  
Yan Jiao Zang ◽  
Yong Bin Wang ◽  
Qi Wang
Keyword(s):  
Cloud Computing ◽  
Network Security ◽  
Access Control ◽  
Data Storage ◽  
Data Access ◽  
Control Methods ◽  
Data Access Control ◽  
Security Problem

As the cloud computing is becoming increasingly popular, more enterprise and individuals tend to use cloud to store data. As a convenient way of data storage, however, the network security became the greatest concern to all kinds of users. In terms of the security problem, three different approaches are introduced to deal with this problem in this paper. And the performance, load and security of these data access control methods will be discussed in detailed.

scholarly journals Cloud Computing Storage Data Access Control Method Based on Dynamic Re-Encryption

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaodan Chen ◽  
Desheng Zeng ◽  
Shuanglong Pang ◽  
Fu Jun
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Access Control ◽  
Data Security ◽  
Control Method ◽  
Data Access ◽  
Key Generation ◽  
Time Consumption ◽  
Data Access Control ◽  
Control Accuracy

In order to improve data security, ensure user privacy, and solve the problems of low data access control accuracy, long time consumption, and high energy consumption in traditional methods, a cloud computing storage data access control method based on dynamic re-encryption is proposed. The principal component analysis method is used to reduce the dimension of the cloud computing storage data, and the random forest algorithm is further used to classify and process the cloud computing storage data according to the processing results. On the basis of data preprocessing, an access control tree is established to obtain the correlation of data nodes. Finally, the dynamic re-encryption method is used for data security state transformation, and the data access control of cloud computing storage is realized through key generation, encryption, re-encryption key generation, and decryption. The experimental results show that the data access control accuracy of the method in this paper is high, time consumption is small, and energy consumption is small, and it is more suitable for cloud computing systems with huge data and information.

scholarly journals Big Data Handling Approach for Unauthorized Access of Cloud Computing

2021 ◽  
Author(s):  
Abdul Razaque ◽  
Shaldanbayeva Nazerke ◽  
Bandar Alotaibi ◽  
Munif Alotaibi ◽  
Akhmetov Murat ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Access Control ◽  
Intrusion Detection ◽  
Data Access ◽  
Computing System ◽  
Data Handling ◽  
Unauthorized Access ◽  
Data Access Control ◽  
Cloud Computing System

Nowadays, cloud computing is one of the important and rapidly growing paradigms that extend its capabilities and applications in various areas of life. The cloud computing system challenges many security issues, such as scalability, integrity, confidentiality, and unauthorized access, etc. An illegitimate intruder may gain access to the sensitive cloud computing system and use the data for inappropriate purposes that may lead to losses in business or system damage. This paper proposes a hybrid unauthorized data handling (HUDH) scheme for Big data in cloud computing. The HUDU aims to restrict illegitimate users from accessing the cloud and data security provision. The proposed HUDH consists of three steps: data encryption, data access, and intrusion detection. HUDH involves three algorithms; Advanced Encryption Standards (AES) for encryption, Attribute-Based Access Control (ABAC) for data access control, and Hybrid Intrusion Detection (HID) for unauthorized access detection. The proposed scheme is implemented using Python and Java language. Testing results demonstrate that the HUDH can delegate computation overhead to powerful cloud servers. User confidentiality, access privilege, and user secret key accountability can be attained with more than 97% high accuracy.

scholarly journals Secure Content De-Duplication Utilizing Efficient Content Discovery and Preserving De-Duplication (Ecdpd)

2019 ◽  
Vol 8 (12S) ◽  
pp. 986-990
Keyword(s):  
Access Control ◽  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Data Access ◽  
Data File ◽  
Data Deduplication ◽  
Efficient Technology ◽  
Data Access Control ◽  
Content Discovery

Cloud computing, an efficient technology that utilizes huge amount of data file storage with security. However, the content owner does not controlling data access for unauthorized clients and does not control data storage and usage of data. Some previous approaches data access control to help data de-duplication concurrently for cloud storage system. Encrypted data for cloud storage is not effectively handled by current industrial de-duplication solutions. The deduplication is unguarded from brute-force attacks and fails in supporting control of data access .An efficient data confining technique that eliminates redundant data’s multiple copies which is commonly used is Data-Deduplication. It reduces the space needed to store these data and thus bandwidth is saved. An efficient content discovery and preserving De-duplication (ECDPD) algorithm that detects client file range and block range of de-duplication in storing data files in the cloud storage system was proposed to overpower the above problems.Data access control is supported by ECDPD actively. Based on Experimental evaluations, proposed ECDPD method reduces 3.802 milliseconds of DUT (Data Uploading Time) and 3.318 milliseconds of DDT (Data Downloading Time) compared than existing approaches

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