A New Secure Model for Data Protection over Cloud Computing

Author:

Sauber Amr M.1,El-Kafrawy Passent M.12,Shawish Amr F.1ORCID,Amin Mohamed A.3,Hagag Ismail M.3

Affiliation:

1. Faculty of Science, Menoufia University, Shibin El Kom, Egypt

2. School of Information Technology and Computer Science, Nile University, Sheikh Zayed, Egypt

3. EL Madina Higher Instute of Admininstration and Technology, Giza, Egypt

Abstract

The main goal of any data storage model on the cloud is accessing data in an easy way without risking its security. A security consideration is a major aspect in any cloud data storage model to provide safety and efficiency. In this paper, we propose a secure data protection model over the cloud. The proposed model presents a solution to some security issues of cloud such as data protection from any violations and protection from a fake authorized identity user, which adversely affects the security of the cloud. This paper includes multiple issues and challenges with cloud computing that impairs security and privacy of data. It presents the threats and attacks that affect data residing in the cloud. Our proposed model provides the benefits and effectiveness of security in cloud computing such as enhancement of the encryption of data in the cloud. It provides security and scalability of data sharing for users on the cloud computing. Our model achieves the security functions over cloud computing such as identification and authentication, authorization, and encryption. Also, this model protects the system from any fake data owner who enters malicious information that may destroy the main goal of cloud services. We develop the one-time password (OTP) as a logging technique and uploading technique to protect users and data owners from any fake unauthorized access to the cloud. We implement our model using a simulation of the model called Next Generation Secure Cloud Server (NG-Cloud). These results increase the security protection techniques for end user and data owner from fake user and fake data owner in the cloud.

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Big Data Privacy Protection and Security Provisions of the Healthcare SecPri-BGMPOP Method in a Cloud Environment;Mathematics;2024-06-25

2. Threats in Cloud Computing System and Security Enhancement;2024 35th Conference of Open Innovations Association (FRUCT);2024-04-24

3. Forensic Investigation of Malicious Activities in Digital Environments;2024 4th International Conference on Data Engineering and Communication Systems (ICDECS);2024-03-22

4. Maximizing Data Privacy: Empirical Analysis of Multi-Keyword Data Search and Privacy Protection over Cloud Computing Paradigm;2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU);2024-03-01

5. Evaluation of Secure Methods for Migrating Virtual Machines to the Cloud;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

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