Data Vaporizer - Towards a Configurable Enterprise Data Storage Framework in Public Cloud

2015 ◽  
Author(s):  
Shubhashis Sengupta ◽  
K.M. Annervaz ◽  
Amitabh Saxena ◽  
Sanjoy Paul
Keyword(s):  
Data Storage ◽  
Public Cloud

scholarly journals Enhanced Privacy Preservation and Data Storage Security in Public Cloud

2018 ◽  
Vol 8 (5) ◽  
pp. 3726-3730
Author(s):  
Rachana Deshmukh
Keyword(s):  
Data Storage ◽  
Privacy Preservation ◽  
Public Cloud ◽  
Storage Security

An Affordable Hybrid Cloud Based Cluster for Secure Health Informatics Research

2018 ◽  
Vol 8 (2) ◽  
pp. 27-46
Author(s):  
Basit Qureshi
Keyword(s):  
Data Storage ◽  
Health Informatics ◽  
Low Cost ◽  
Academic Research ◽  
Security And Privacy ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Public And Private ◽  
Attribute Based Encryption ◽  
Patient Health

This article describes how a major risk factor in the deployment of patient health records systems in the cloud is the security and privacy of data. Hybrid cloud solutions have been proposed that leverage the public and private cloud deployment to manage and alleviate accessibility, access control and privacy concerns. This article presents a privacy preserving and secure architecture for data acquisition, storage, processing and sharing. The proposed architecture is composed of a public cloud-based services that interact with a low-cost cloud computing cluster (LoC4) as a backend. A lightweight data security eco-system based on attribute based encryption is developed to provide security for public cloud-based data storage. Performance of the deployment is evaluated in a real-time deployment environment. The results show that the proposed ABE-based system is 2.3 times faster than AES-based for a variety of sizes of data blocks. It is further noted that the low-cost and affordability of LoC4 platform offers excellent opportunities for academic research in cloud based health informatics.

scholarly journals Implementation of Round Key AES with Honey Technique for Securing the Public Cloud Data Storage

2018 ◽  
Vol 7 (3.1) ◽  
pp. 128
Author(s):  
Selvam L ◽  
Arokia Renjit J
Keyword(s):  
Data Storage ◽  
Cyber Security ◽  
Public Cloud ◽  
Secret Key ◽  
Cloud Data ◽  
Plain Text ◽  
The Public ◽  
Aes Algorithm ◽  
Cloud Data Storage ◽  
Brute Force Attack

Recent security incidents on public cloud data storage had raised concerns on cloud data security. Development in the hacking area has risen in the past few years. Due to this, Cyber Security is needed which plays an important role to cover the secret information. Currently, the attack of challenging channel is both the symmetric as well as the asymmetric encryption algorithm. Since, in both criteria the secret key has to be transmitting through a security challenging channel. For this many techniques have been put forward. The Main focus is on the vulnerabilities of the private keys while hoarded in different places for the fast utilization of the round key of the AES algorithm. In the view of the hackers, extracting the private key is nearly as same as obtaining the plain text itself. So, the honey encryption technique is used to futile the attacker by producing the fake key for each and every try of the Key puncher. An indication will be generated automatically to the storage manager when an attempt is made by the attacker. The Honey encryption is the best algorithm to overcome the drawbacks of the AES algorithm but it has some time constraints which are also eliminated here. Thus, eliminating the Brute Force Attack and providing a secure system for storing the secret key.  

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 Enhanced Data Security for Public Cloud Environment with Secured Hybrid Encryption Authentication Mechanisms

2018 ◽  
Vol 19 (4) ◽  
pp. 351-360
Author(s):  
Prabu S ◽  
Gpinath Ganapathy ◽  
Ranjan Goyal
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Cloud Storage ◽  
Cloud Service ◽  
Security Model ◽  
Public Cloud ◽  
Computing Environment ◽  
Data Outsourcing ◽  
Cloud Computing Environment

Cloud computing is an evolving computing technology that provides many services such as software and storage. With the introduction of cloud storage, the security of outsourced data has become a major issue in cloud computing. Data storage in cloud computing environment needs to be secured in order to provide a safe and foolproof security for data outsourcing of the cloud service users. This paper presents a model for security of data in public cloud storage environment which successfully detects the unauthenticated access or any anomaly in the data. The proposed authentication model along with the data security model presented in this paper shows that this model is the best model suitable for securing the data in cloud computing environment

Hybrid Data Security Model for Cloud

2013 ◽  
Vol 3 (3) ◽  
pp. 50-59
Author(s):  
Sandeep K. Sood
Keyword(s):  
Data Storage ◽  
User Authentication ◽  
Security Analysis ◽  
Cost Effective ◽  
Cloud Security ◽  
Main Concern ◽  
Security Model ◽  
Public Cloud ◽  
Private Cloud ◽  
The Public

Security of data is one of the main concern in the implementation of cloud computing. This paper proposes a highly effective and efficient cloud security model. The proposed security model keeps the most critical data on the private cloud and the rest of it on the public cloud. It uses hash codes to check the integrity of the data at the public cloud. The proposed cloud security model provides the provision of defining user roles thereby determining the type of access the user exercises on the data. This model uses dual verification mechanism for user authentication by using username and password on one layer and key authentication on another layer. A cryptographic process is used to make the overall security of the data on the cloud highly robust. A comprehensive security analysis of the model is done against various types of attacks and the results are very promising. This model is compared to various existing cloud security models and the results shows that our technique is faster, much more robust and efficient as compared to other existing models. This model is cost effective because it uses private cloud only for highly sensitive data. Rest of data is stored on the public cloud, where data storage cost is comparatively very less.

An Affordable Hybrid Cloud Based Cluster for Secure Health Informatics Research

2020 ◽  
pp. 593-613
Author(s):  
Basit Qureshi
Keyword(s):  
Data Storage ◽  
Health Informatics ◽  
Low Cost ◽  
Academic Research ◽  
Security And Privacy ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Public And Private ◽  
Attribute Based Encryption ◽  
Patient Health

This article describes how a major risk factor in the deployment of patient health records systems in the cloud is the security and privacy of data. Hybrid cloud solutions have been proposed that leverage the public and private cloud deployment to manage and alleviate accessibility, access control and privacy concerns. This article presents a privacy preserving and secure architecture for data acquisition, storage, processing and sharing. The proposed architecture is composed of a public cloud-based services that interact with a low-cost cloud computing cluster (LoC4) as a backend. A lightweight data security eco-system based on attribute based encryption is developed to provide security for public cloud-based data storage. Performance of the deployment is evaluated in a real-time deployment environment. The results show that the proposed ABE-based system is 2.3 times faster than AES-based for a variety of sizes of data blocks. It is further noted that the low-cost and affordability of LoC4 platform offers excellent opportunities for academic research in cloud based health informatics.

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