Securing Mobile User Data in Cloud Computing Environment
Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 7)Publication Date: 2015-07-05
Authors : Manoj M. Chavan; Poonam V. Gupta;
Page : 2488-2491
Keywords : Mobile Cloud Computing; Cloud Computing; Security; Attribute Based Encryption; Re-Encryption;
- Load Flow Studies by CB Model Approach using UPFC
- IMPACT OF NATURE OF LOAD ON FACT DEVICES (UPFC) BY ANALYSING THE POWER FACTOR OF LOAD BUS
- Simulation Study of the Unified Power Flow Controller (UPFC)
- Role of UPFC in Power Flow Control of Distribution Line
- FIRING ANGLE SVC MODEL FOR ANALYZING THE PERFORMANCE OF TRANSMISSION NETWORK USING NEWTON RAPHSON LOAD FLOW
Abstract
Mobile Cloud Computing (MCC) combines dynamic fields of cloud computing, portable computing, wireless communication infrastructure, location services and mobile web. Using mobile cloud computing the user can access unlimited computing power and storage space. Data stored by mobile user on the cloud should be secured both from unauthorized access and cloud provider. Additionally mobile devices assessing the data are constrained in terms of resource such as storage space and computing power, so communication cost must be reduced. For securing the data stored on the cloud our proposed system uses attribute based encryption in which only the authorized user can access stored data by satisfying required attributes. Complex cryptographic operations are performed by cloud provider and trusted authority i. e manager thus relieving mobile user from heavy computational load. Whenever a user leaves group of authorized users re-encryption is performed on the encrypted data by cloud provider without intermediate decryption while preserving the integrity and privacy of user data.
Other Latest Articles
- Accountability of Data usage in Cloud Computing
- Influence of the Autoclaving Processes on the Most Commonly Used Orthodontic Archwires
- Prevalence of Coronal Pulp Stones in Maxillary First and Second Molars
- A Radiographic Assessment of the Prevalence of Pulp Stones in Premolars According to the Sex
- VHDL Implementation for Adaptive FIR filter and its Novel Application using Systolic Architecture
Last modified: 2021-06-30 21:50:52