AN EFFICIENT AND SECURE POLICY UPDATE OUTSOURCING SCHEME FOR BIG DATA STORAGE IN CLOUD
Journal Title: Elysium Journal of Engineering Research and Management - Year 2016, Vol 3, Issue 5
Abstract
Store the big data in cloud is a best and an effective option due to its high volume and velocity. Generally, the cloud has the capability to store the big data and to process the high volume of user access requests. In cloud environment, the Attribute Based Encryption (ABE) technique ensures the end-to-end security of big data. But, the policy updating is a challenging issue, when the ABE is used to construct an access control schemes. With the help of trivial implementation, a data owners retrieve the data and reencrypt it under new access policy, then send it back to the cloud. However, this approach sustains high communication overhead and heavy computational burden. Thus, this paper proposes a novel scheme to enable an efficient access control with dynamic policy updating for storing the big data in cloud. In this paper, an outsourced policy updating method is developed for designing the ABE systems that avoids the transmission of encrypted data and reduces the computation work of data owners. To check whether the cloud server has updated the cipher-texts correctly, an efficient and secure method was also proposed in this work. Finally, the experimental analysis demonstrates that the proposed system is correct, secure, efficient and complete.
Authors and Affiliations
AshaVani MBC, Vithya TR
Keywords
Related Articles
- EP ID EP365554
- DOI -
- Views 128
- Downloads 0
Kidney Disease Identification Using Automatic 3D Segmentation
Various layers of kidney can be affected by different kinds of disease. That is renal cortex, renal column, renal medulla and renal pelvis. For example, kidney tumor usually occurs in renal cortex, renal column hypertrop...
REDUCTION OF LOSS AND THERMAL DISTRIBUTION OF THE THREE LEVEL–NEUTRAL POINT CLAMPED CONVERTERS IN THE WIND POWER GENERATION
The proposed project in Northern Province inverter power loss and heat distribution is among semiconductors. The three-level neutral-point (3L - NPC) is a promising step in the use of converter t...
FEATURE SELECTION IN CT IMAGES BASED ON PARTICLE SWARM BASED OPTIMIZATION
Lung diseases are the common disorder that can affect the lungs and create breathing problem in all the humans. CT images plays an important role for diagnosing the lung diseases.This project proposes a Particle swarm ba...
A Statistical Pattern Recognition Approach for Tracking Left Ventricle Endocardium
The Left Ventricle endocardium has a difficult problem can be determined by a new statistical pattern recognition approach. In this pattern, resampling algorithm along with the current time step is estimated and appearan...
Electrocardiogram Signal Modeling Using Adaptive Framework Based SVM Classification Method
Automatic electrocardiogram (ECG) signal classification plays a significant role in the clinical applications, to overcome the problems occur during manual annotation of the ECG recordings. The ECG beat m...