Security Approaches and Crypto Algorithms in Mobile Cloud Storage Environment to Ensure Data Security

2019 ◽  
pp. 516-524
Author(s):  
Micheal Ernest Taylor ◽  
David Aboagye-Darko
Keyword(s):  
Data Security ◽  
Cloud Storage ◽  
Mobile Cloud ◽  
Cloud Storage Environment

scholarly journals Blockchain-based Secure Big Data Storage on Cloud

2020 ◽  
Vol 9 (4) ◽  
pp. 37-45
Keyword(s):  
Big Data ◽  
Comparative Analysis ◽  
Data Storage ◽  
Data Security ◽  
Cloud Storage ◽  
Information Technologies ◽  
Mobile Cloud ◽  
Blockchain Technology ◽  
Data Authentication ◽  
Big Data Storage

In the cryptocurrency era, Blockchain is one of the expeditiously growing information technologies that help in providing security to the data. Data tampering and authentication problems generally occur in centralized servers while sharing and storing the data. Blockchain provides the platform for big data and cloud storage in enhancing the security by evading from pernicious users. In this paper, we have discussed the exhaustive description of blockchain and its need, features and applications. Analysis of blockchain is done for different domains such as big data, cloud, internet of things and mobile cloud where the differences V’s are compared with big data and blockchain. SWOT (Strength Weakness Opportunities Threats) analysis is performed to address the merits and limitations in blockchain technology. The survey in aspects of data security, data storage, data sharing and data authentication through blockchain technology is done and the challenges are discussed to overcome the problem that leads in big data and cloud storage. The detailed comparative analysis proves that the blockchain technology overcomes the problems in big data storage and data security in cloud.

scholarly journals Data Security in Public Cloud Storage Environment

2015 ◽  
Vol V4 (06) ◽  
Author(s):  
Dr. Ramalingam Sugumar ◽  
Sharmila Banu Sheik Imam ◽  
Keyword(s):  
Data Security ◽  
Cloud Storage ◽  
Public Cloud ◽  
Cloud Storage Environment

scholarly journals Performance Evaluation of Cloud Database Security Algorithms

2021 ◽  
Vol 309 ◽  
pp. 01189
Author(s):  
Srinu Banothu ◽  
A Govardhan ◽  
Karnam Madhavi
Keyword(s):  
Data Storage ◽  
Data Security ◽  
Cloud Storage ◽  
Database Security ◽  
Sensitive Data ◽  
Computing Services ◽  
Cloud Databases ◽  
Critical Issues ◽  
Cloud Storage Environment ◽  
Rental Basis

Cloud computing is a group of servers providing the on demand computing services to the users on rental basis. One of the services providing by the cloud is Data Storage as a Service. In Data Storage as a Service user will outsource their sensitive data to cloud storage environment, where the users data will be stored and whenever user needs data, they will access from the cloud storage from anywhere and anytime using any device connected to the internet. One of the critical issues in this is data security. When user outsources their sensitive data to cloud vendor, the cloud vendor may leak the user’s sensitive data to third persons because vendor is not a trusted party. To overcome these problems there are many authors suggested different security algorithms. In this research we studied and evaluating the performances of those security algorithms and proposing a better solution, which provides best security to data stored in cloud databases.

A New User-controlled and Efficient Encrypted Data Sharing Model in Cloud Storage

2019 ◽  
Vol 13 (4) ◽  
pp. 356-363
Author(s):  
Yuezhong Wu ◽  
Wei Chen ◽  
Shuhong Chen ◽  
Guojun Wang ◽  
Changyun Li
Keyword(s):  
Data Sharing ◽  
Data Security ◽  
Cloud Storage ◽  
Screening Program ◽  
Original Data ◽  
Third Party ◽  
Active System ◽  
Encrypted Data ◽  
Active User ◽  
User Data

Background: Cloud storage is generally used to provide on-demand services with sufficient scalability in an efficient network environment, and various encryption algorithms are typically applied to protect the data in the cloud. However, it is non-trivial to obtain the original data after encryption and efficient methods are needed to access the original data. Methods: In this paper, we propose a new user-controlled and efficient encrypted data sharing model in cloud storage. It preprocesses user data to ensure the confidentiality and integrity based on triple encryption scheme of CP-ABE ciphertext access control mechanism and integrity verification. Moreover, it adopts secondary screening program to achieve efficient ciphertext retrieval by using distributed Lucene technology and fine-grained decision tree. In this way, when a trustworthy third party is introduced, the security and reliability of data sharing can be guaranteed. To provide data security and efficient retrieval, we also combine active user with active system. Results: Experimental results show that the proposed model can ensure data security in cloud storage services platform as well as enhance the operational performance of data sharing. Conclusion: The proposed security sharing mechanism works well in an actual cloud storage environment.

scholarly journals Distributed data hiding in multi-cloud storage environment

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Leonel Moyou Metcheka ◽  
René Ndoundam
Keyword(s):  
Cloud Storage ◽  
Network Protocols ◽  
Secret Message ◽  
Covert Channel ◽  
Distributed Data ◽  
Comparison Results ◽  
Major Interest ◽  
Cloud Storage Environment ◽  
Audio Video ◽  
Multi Cloud

AbstractClassical or traditional steganography aims at hiding a secret in cover media such as text, image, audio, video or even in network protocols. Recent research has improved this approach called distributed steganography by fragmenting the secret message and embedding each secret piece into a distinct cover media. The major interest of this approach is to make the secret message detection extremely difficult. However, these file modifications leave fingerprints which can reveal a secret channel to an attacker. Our contribution is a new steganography paradigm transparent to any attacker and resistant to the detection and the secret extraction. Two properties contribute to achieve these goals: the files do not undergo any modification while the distribution of the secret in the multi-cloud storage environment allows us to hide the existence of the covert channel between the communicating parties. Information’s are usually hidden inside the cover media. In this work, the covert media is a pointer to information. Therefore the file carries the information without being modified and the only way to access it is to have the key. Experiments show interesting comparison results with remarkable security contributions. The work can be seen as a new open direction for further research in the field.

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