Secured Data Storage and Retrieval Algorithm Using Map Reduce Techniques and Chaining Encryption in Cloud Databases

2017 ◽  
Vol 96 (4) ◽  
pp. 5621-5633 ◽  
Author(s):  
S. Muthurajkumar ◽  
M. Vijayalakshmi ◽  
A. Kannan
Keyword(s):  
Data Storage ◽  
Map Reduce ◽  
Retrieval Algorithm ◽  
Storage And Retrieval ◽  
Cloud Databases ◽  
Secured Data

Effective Data Storage and Dynamic Data Auditing Scheme for Providing Distributed Services in Federated Cloud

2020 ◽  
Vol 29 (16) ◽  
pp. 2050259
Author(s):  
A. M. Sermakani ◽  
D. Paulraj
Keyword(s):  
Data Storage ◽  
Input Data ◽  
Data Access ◽  
Retrieval Algorithm ◽  
Public Cloud ◽  
Dynamic Data ◽  
Storage And Retrieval ◽  
Cloud Database ◽  
Private And Public ◽  
Data Auditing

Recently, many organizations and industries are using the cloud computing technologies for exchanging the resources and their confidential data. For this purpose, many cloud services are available and also provide the facility to categorize their users as private and public users for accessing their own data from private cloud and public cloud. The combination of these two clouds is called federated cloud which facilitates to allow both kinds of cloud users for accessing their own data on same cloud database. In this scenario, the authorization and authentication process is becoming complex task on cloud. For providing the facility to access their own data only from federated cloud, a new secured data storage and retrieval algorithm called AES and Triple-DES-based Secured Storage and Retrieval Algorithm (ATDSRA) are proposed for storing the private and public cloud user’s data securely on cloud database. Here, the TDES is used for encrypting the input data, data merging and aggregation methods were used for grouping the encrypted input data. Moreover, a new dynamic data auditing scheme called CRT-based Dynamic Data Auditing Algorithm (CRTDDA) is proposed for conducting the cloud data auditing over the federated cloud and also restricting the data access. The proposed new auditing mechanism that is able to protect the stored data from access violence. In addition, the standard Table64 is used for encryption and decryption processes. The experimental results of this work proves the efficiency of the proposed model in terms of security level.

scholarly journals Secured data storage in the cloud using logical Pk-Anonymization with Map Reduce methods and key generation in cloud computing

2021 ◽  
Vol 15 (1) ◽  
pp. 746-756
Author(s):  
Sindhe Phani Kumar ◽  
R. Anandan ◽  
Fairouz Tchier ◽  
G. Rajchakit ◽  
Choonkil Park ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Map Reduce ◽  
Key Generation ◽  
Secured Data

scholarly journals Data Storage and Retrieval with Deduplication in Secured Cloud Storage

2019 ◽  
Vol 9 (1) ◽  
pp. 609-615
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Modern Technology ◽  
Current Data ◽  
Data Deduplication ◽  
Data Accessibility ◽  
Storage And Retrieval ◽  
Network Bandwidth ◽  
Secured Data ◽  
Client Side

The Cloud Storage can be depicted as a service model where raw or processed data is stored, handled, and backed-up remotely while accessible to multiple users simultaneously over a network. Few of the ideal features of cloud storage is reliability, easy deployment, disaster recovery, security for data, accessibility and on top of that lesser overall storage costs which removes the hindrance of purchasing and maintaining the technologies for cloud storage. In this modern technology world, massive amount of data are produced in day to day life. So, it has become necessary to handle those big data on demand which is a challenging task for current data storage systems. The process of eliminating redundant copies of data thereby reducing the storage overhead is termed as Data Deduplication (DD). One of the ultimate aim of this research is to achieve ideal deduplication on secured data of client side. On the other hand as the client’s data are encrypted with different keys, the cross user deduplication is merely impossible as having a single key encryption among multiple user’s leads to an in secure system resulting in fragile to client’s expectations. The proposed research adapts Message Locked Encryption (MLE) technique that looks for redundant files in cloud before uploading the client’s file which eventually reduces the storage. Since the redundant files are swept, the network bandwidth is considerably reduced with respect to the redundant contents uploaded several times.

scholarly journals Data storage and retrieval with RPL routing

2013 ◽  
Author(s):  
Pietro Gonizzi ◽  
Gianluigi Ferrari ◽  
Paolo Medagliani ◽  
Jeremie Leguay
Keyword(s):  
Data Storage ◽  
Storage And Retrieval

scholarly journals The NMR Spectral Measurement Database: A System for Organizing and Accessing NMR Spectra of Therapeutic Proteins

2021 ◽  
Vol 126 ◽  
Author(s):  
Niksa Blonder ◽  
Frank Delaglio
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Spectral Data ◽  
Data Storage ◽  
Nmr Spectra ◽  
Therapeutic Proteins ◽  
Data Access ◽  
Protein Therapeutics ◽  
Spectral Measurement ◽  
Storage And Retrieval

The Nuclear Magnetic Resonance Spectral Measurement Database (NMR-SMDB) was developed for the purpose of organizing and searching NMR spectral data of protein therapeutics, linking spectra to corresponding sample information and enabling quick access to full datasets and entire studies. In addition to supporting internal research at the National Institute of Standards and Technology (NIST), the system could facilitate data access to stakeholders outside of NIST, and future versions of the database software itself could be installed by others for their own data storage and retrieval.

scholarly journals Encoding scheme for data storage and retrieval on DNA computers

2020 ◽  
Vol 14 (7) ◽  
pp. 635-641
Author(s):  
Dolly Sharma ◽  
Ranjit Kumar ◽  
Mayuri Gupta ◽  
Tanisha Saxena
Keyword(s):  
Data Storage ◽  
Encoding Scheme ◽  
Storage And Retrieval ◽  
Dna Computers
Sign in / Sign up

Export Citation Format

Share Document