scholarly journals Privacy Preservation of a Group and Secure Data Storage in Cloud Environment

2015 ◽  
Vol 15 (1) ◽  
pp. 46-54
Author(s):  
K. Govinda ◽  
E. Sathiyamoorthy
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Privacy Preservation ◽  
Personal Information ◽  
Cloud Service ◽  
Cloud Services ◽  
Security And Privacy ◽  
Cloud Environment ◽  
Secure Data

Abstract Cloud computing has become a victorious archetype for data storage, as well as for computation purposes. Greater than ever it concerns user’s privacy, so that data security in a cloud is increasing day by day. Ensuring security and privacy for data organization and query dispensation in the cloud is important for superior and extended uses of cloud based technologies. Cloud users can barely have the full benefits of cloud computing if we can ensure the real user’s privacy and his data security concerns this approach along with storing thin-skinned personal information in databases and software spread around the cloud. There are numerous service suppliers in WWW (World Wide Web), who can supply each service as a cloud. These cloud services will switch over data with a supplementary cloud, so that when the data is exchanged between the clouds, the problem of confidentiality revelation exists. So the privacy revelation problem concerning a person or a corporation is unavoidably open when releasing or data distributing in the cloud service. Confidentiality is a significant issue in any cloud computing environment. In this paper we propose and implement a mechanism to maintain privacy and secure data storage for group members or a community in cloud environment.

On Data Security and Encryption Algorithms in Cloud Environment

2014 ◽  
Vol 701-702 ◽  
pp. 1106-1111 ◽  
Author(s):  
Xin Zheng Zhang ◽  
Ya Juan Zhang
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Service Providers ◽  
Cloud Service ◽  
Working Environment ◽  
Cloud Environment ◽  
Cloud Data ◽  
Security Issues ◽  
Encryption Algorithms

As information and processes are migrating to the cloud, Cloud Computing is drastically changing IT professionals’ working environment. Cloud Computing solves many problems of conventional computing. However, the new technology has also created new challenges such as data security, data ownership and trans-code data storage. We discussed about Cloud computing security issues, mechanism, challenges that Cloud service providers and consumers face during Cloud engineering. Based on concerning of security issues and challenges, we proposed several encryption algorithms to make cloud data secure and invulnerable. We made comparisons among DES, AES, RSA and ECC algorithms to find combinatorial optimization solutions, which fit Cloud environment well for making cloud data secure and not to be hacked by attackers.

scholarly journals Data security and risk assessment in cloud computing

2018 ◽  
Vol 17 ◽  
pp. 03028 ◽  
Author(s):  
Jing Li ◽  
Qinyuan Li
Keyword(s):  
Risk Assessment ◽  
Cloud Computing ◽  
Data Security ◽  
Service Providers ◽  
Personal Information ◽  
Cloud Service ◽  
Cloud Services ◽  
Management Framework ◽  
Security Controls ◽  
Cloud Service Providers

Cloud computing has attracted more and more attention as it reduces the cost of IT infrastructure of organizations. In our country, business Cloud services, such as Alibaba Cloud, Huawei Cloud, QingCloud, UCloud and so on are gaining more and more uses, especially small or median organizations. In the cloud service scenario, the program and data are migrating into cloud, resulting the lack of trust between customers and cloud service providers. However, the recent study on Cloud computing is mainly focused on the service side, while the data security and trust have not been sufficiently studied yet. This paper investigates into the data security issues from data life cycle which includes five steps when an organization uses Cloud computing. A data management framework is given out, including not only the data classification but also the risk management framework. Concretely, the data is divided into two varieties, business and personal information. And then, four classification levels (high, medium, low, normal) according to the different extent of the potential adverse effect is introduced. With the help of classification, the administrators can identify the application or data to implement corresponding security controls. At last, the administrators conduct the risk assessment to alleviate the risk of data security. The trust between customers and cloud service providers will be strengthen through this way.

scholarly journals A New Secure Model for Data Protection over Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Amr M. Sauber ◽  
Passent M. El-Kafrawy ◽  
Amr F. Shawish ◽  
Mohamed A. Amin ◽  
Ismail M. Hagag
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Protection ◽  
Cloud Services ◽  
Security And Privacy ◽  
Storage Model ◽  
Cloud Data ◽  
Security Issues ◽  
Data Owner ◽  
Proposed Model

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.

scholarly journals Improvement of Privacy and Security in Hybrid Cloud with Attribute Group Based Access Control

2019 ◽  
pp. 57-61
Author(s):  
Kayalvili S ◽  
Sowmitha V
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Data Storage ◽  
Service Providers ◽  
Cloud Service ◽  
Security Requirements ◽  
Security And Privacy ◽  
Data Outsourcing ◽  
Privacy And Security ◽  
Control Approach

Cloud computing enables users to accumulate their sensitive data into cloud service providers to achieve scalable services on-demand. Outstanding security requirements arising from this means of data storage and management include data security and privacy. Attribute-based Encryption (ABE) is an efficient encryption system with fine-grained access control for encrypting out-sourced data in cloud computing. Since data outsourcing systems require flexible access control approach Problems arises when sharing confidential corporate data in cloud computing. User-Identity needs to be managed globally and access policies can be defined by several authorities. Data is dual encrypted for more security and to maintain De-Centralization in Multi-Authority environment.

Data Security Issues and Solutions in Cloud Computing

2016 ◽  
pp. 2076-2095
Author(s):  
Abhishek Majumder ◽  
Sudipta Roy ◽  
Satarupa Biswas
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Data Security ◽  
Cloud Service ◽  
Third Party ◽  
Service Availability ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Storage And Retrieval ◽  
Security Issues

Cloud is considered as future of Information Technology. User can utilized the cloud on pay-as-you use basis. But many organizations are stringent about the adoption of cloud computing due to their concern regarding the security of the stored data. Therefore, issues related to security of data in the cloud have become very vital. Data security involves encrypting the data and ensuring that suitable policies are imposed for sharing those data. There are several data security issues which need to be addressed. These issues are: data integrity, data intrusion, service availability, confidentiality and non-repudiation. Many schemes have been proposed for ensuring data security in cloud environment. But the existing schemes lag in fulfilling all these data security issues. In this chapter, a new Third Party Auditor based scheme has been proposed for secured storage and retrieval of client's data to and from the cloud service provider. The scheme has been analysed and compared with some of the existing schemes with respect to the security issues. From the analysis and comparison it can be observed that the proposed scheme performs better than the existing schemes.

Research of Public Service Platform Based on Cloud Computing for Middle Size Enterprises

2014 ◽  
Vol 989-994 ◽  
pp. 5498-5503
Author(s):  
Chun Xiao Wang ◽  
Ying Guo ◽  
Xiu Gang Guo
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Public Service ◽  
Service Management ◽  
Cloud Service ◽  
Cloud Services ◽  
Information Support ◽  
Enterprise Management ◽  
Service Platform ◽  
Development Lifecycle

Based on the research in cross-regional resource scheduling and massive data storage, the article built public service platform including IaaS, PaaS and SaaS. It provided all kinds of management software and business software for middle size enterprise users, and provided the development, testing, deployment platform for software vendors, and provided unified resource management, monitoring and maintenance for platform operators which finally become cloud service platform to support enterprise management and software development lifecycle. This helps to form a self-loop and self-development cloud computing ecosystem, to form the linkage of cloud services production, cloud services consumption and cloud service management, and to provide comprehensive information support for the growth and development of middle size enterprise.

scholarly journals A REVIEW ON A SECURITY MECHANISM IN CLOUD ENVIRONMENT

2017 ◽  
Vol 16 (3) ◽  
pp. 6219-6224
Author(s):  
Jaspreet Kaur ◽  
Navdeep Kaler
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Information Exchange ◽  
Cloud Service ◽  
Cloud Environment ◽  
Security Issue ◽  
Cloud Service Provider ◽  
Security Issues ◽  
Definition Of ◽  
New Infrastructure

Cloud computing is a way to increase the capacity or add capabilities dynamically without investing in new infrastructure, training new personnel, or licensing new software. As information exchange plays an important role in today’s life, information security becomes more important. This paper is focused on the security issues of cloud computing and techniques to overcome the data security issue. Before analyzing the security issues, the definition of cloud computing and brief discussion to under cloud computing is presented. The various components that affect the security of the cloud and the problems faced by cloud service provider have been discussed in this paper.

scholarly journals Secure Distributed Data using Multi-Cloud

2020 ◽  
Vol 9 (4) ◽  
pp. 2998-3003
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Cloud Service ◽  
Security And Privacy ◽  
Distributed Data ◽  
Second Stage ◽  
The Third ◽  
Third Stage ◽  
Three Stages ◽  
Access To Data

Implementing cloud computing provides many paths for web-based service. But, data security and privacy requirement become an important problem that limits several cloud applications. One of the key security and privacy concerns is the fact that cloud service suppliers have access to data. This concern greatly reduces the usability of cloud computing in many areas, such as financial business and government agencies. This paper focuses on this important issue and suggests a new approach, so cloud providers cannot directly access data. The proposed approach is divided into two sides: upload side and download side. In upload side, there is three stages, at the first stage; the transmitted file is splitted and then encrypted in order to achieve the data security requirement. At the second stage, the splitted data are integrity checked by MD5 algorithm, in order to achieve integrity requirement. At the third stage, the checked splitted data are stored separately in three -clouds, in order to achieve distribution requirement. In download side, also there is three stages. At the first stage, the data is retrieved from the three-clouds. At the second stage, data integrity is performed using MD5. At the third stage, data decryption and merging are done. The proposed approach is successfully implemented on (25 KB) image. The proposed model is successfully implemented in uploading side dependent on shares3 because provide high security with total time of (8.144 sec), and in downloading side with total side of (9.42).

scholarly journals Data Storage, Security And Techniques In Cloud Computing

2020 ◽  
Author(s):  
Dinesh Arpitha R ◽  
Sai Shobha R
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Service Providers ◽  
Cloud Service ◽  
Data Access ◽  
Cloud Services ◽  
Security Risk ◽  
Storage Security ◽  
The Cost ◽  
User Knowledge

Cloud computing is the computing technology which provides resources like software, hardware, services over the internet. Cloud computing provides computation, software, data access, and storage services that do not require end- user knowledge of the physical location and configuration of the system that delivers the services. Cloud computing enables the user and organizations to store their data remotely and enjoy good quality applications on the demand without having any burden associated with local hardware resources and software managements but it possesses a new security risk towards correctness of data stored at cloud. The data storage in the cloud has been a promising issue in these days. This is due to the fact that the users are storing their valuable data and information in the cloud. The users should trust the cloud service providers to provide security for their data. Cloud storage services avoid the cost storage services avoids the cost expensive on software, personnel maintains and provides better performance less storage cost and scalability, cloud services through internet which increase their exposure to storage security vulnerabilities however security is one of the major drawbacks that preventing large organizations to enter into cloud computing environment. This work surveyed on several storage techniques and this advantage and its drawbacks.

Controlled Intelligent Agents' Security Model for Multi-Tenant Cloud Computing Infrastructures

2017 ◽  
Vol 9 (1) ◽  
pp. 1-13
Author(s):  
Howard Hamilton ◽  
Hadi Alasti
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Intelligent Agents ◽  
Cloud Service ◽  
Cloud Services ◽  
Service Users ◽  
Security Model ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Service Models

Data security in the cloud continues to be a huge concern. The adoption of cloud services continues to increase with more businesses transitioning from on premise technology infrastructures to outsourcing cloud-based infrastructures. As the cloud becomes more popular, users are increasingly demanding control over critical security elements of the data and technology assets that are in the cloud. In addition, there are still cries for greater data and security in the cloud. The goal of this paper is to provide cloud service users with greater control over data security in the cloud while at the same time optimizing overall security in the multi-tenant cloud computing environment. This paper introduces cloud-based intelligent agents that are configurable by the users and are expected to give greater compliance for data security in any of the cloud service models.

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