Enhanced security-aware technique and ontology data access control in cloud computing

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.

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Big Data Handling Approach for Unauthorized Access of Cloud Computing

10.20944/preprints202112.0068.v1 ◽

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.

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Formalization and Verification of TESAC Using CSP

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194019400199 ◽

2019 ◽

Vol 29 (11n12) ◽

pp. 1741-1760

Author(s):

Dongzhen Sun ◽

Huibiao Zhu ◽

Yuan Fei ◽

Lili Xiao ◽

Gang Lu ◽

...

Keyword(s):

Cloud Computing ◽

Access Control ◽

Process Analysis ◽

Computing Time ◽

Data Access ◽

Computing Paradigm ◽

Data Access Control ◽

Control Scheme ◽

Critical Issues ◽

Security Properties

Cloud computing is an emerging computing paradigm in IT industries. The wide adoption of cloud computing is raising concerns about management of data in the cloud. Access control and data security are two critical issues of cloud computing. Time-efficient secure access control (TESAC) model is a new data access control scheme which can minimize many significant problems. This scheme has better performance than other existing models in a cloud computing environment. TESAC is attracting more and more attentions from industries. Hence, the reliability of TESAC becomes extremely important. In this paper, we apply Communication Sequential Processes (CSP) to model TESAC, as well as their security properties. We mainly focus on its data access mechanism part and formalize it in detail. Moreover, using the model checker Process Analysis Toolkit (PAT), we have verified that the TESAC model cannot assure the security of data with malicious users. For the purpose of solving this problem, we introduce a new method similar to digital signature. Our study can improve the security and robustness of the TESAC model.

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