International Journal of Advances in Engineering Research http://www.ijaer.com (IJAER) 2016, Vol. No. 11, Issue No. I, January e-ISSN: 2231-5152/ p-ISSN: 2454-1796 77 INTERNATIONAL JOURNAL OF ADVANCES IN ENGINEERING RESEARCH SECURE SEARCH SCHEME OF ENCRYPTED DATA ON MOBILE CLOUD *DEEPA. P , **GOMATHI. S, ***DR. D.C. JOYWINNIEWISE * M.E CSE, Francis Xavier Engineering college Tirunelveli , India ** Assistant Professor ,CSE Department Francis Xavier Engineering College, Tirunelveli , India *** HOD & Professor, CSE Department Francis Xavier Engineering College, Tirunelveli , India ABSTRACT I. INTRODUCTION Cloud computing or in simpler shorthand just "the cloud", also focuses on maximizing the effectiveness of the shared resources. Cloud resources are usually not only shared by multiple users but are also dynamically reallocated per demand. This can work for allocating resources to users. For example, a cloud computer facility that serves European users during European business hours with a specific application (e.g., email) may reallocate the same resources to serve North American users during North America's business hours with a different application (e.g., a web server). This approach should maximize the use of computing power thus reducing environmental damage as well since less power, air conditioning, rack space, etc. are required for a variety of functions. Mobile Cloud Computing (MCC) is the combination of cloud computing, mobile computing and wireless networks to bring rich computational resources to mobile users, network operators, as well as cloud computing providers. The ultimate goal of MCC is to enable execution of rich mobile applications on a plethora of mobile devices, with a rich user experience. MCC provides business opportunities for mobile network operators as well as cloud providers. More comprehensively, MCC can be defined as "a rich mobile computing technology that leverages unified elastic resources of varied clouds and network technologies toward unrestricted functionality, storage, and mobility to serve a multitude of Mobile Cloud Storage acts as the primary file storage for the mobile devices. Data privacy is a very important concern in such cloud storage devices because the mobile device users to store and retrieve files or data on the cloud through wireless communication, which improves the data availability and facilitates the file sharing process without draining the local mobile device resources. In this, a traffic and energy saving encrypted search scheme is used for simplified search and retrieval process that reduces the network traffic for the communication of the selected index and reduces the file retrieval time. This scheme involves three processes such as the process of authentication is used by the data owner to authenticate the data users. The file set and its index are stored in the cloud after being encrypted by the data owner during the preprocessing and indexing stages. The data user searches the files corresponding to a keyword by sending a request to the cloud server in the search and retrieval processes.
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SECURE SEARCH SCHEME OF ENCRYPTED DATA … Wang et al [4] have proposed a secure ranked keyword search over encrypted cloud data. Ranked search greatly enhances system usability by
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International Journal of Advances in Engineering Research http://www.ijaer.com
(IJAER) 2016, Vol. No. 11, Issue No. I, January e-ISSN: 2231-5152/ p-ISSN: 2454-1796
77
INTERNATIONAL JOURNAL OF ADVANCES IN ENGINEERING RESEARCH
SECURE SEARCH SCHEME OF ENCRYPTED DATA ON
MOBILE CLOUD
*DEEPA. P , **GOMATHI. S, ***DR. D.C. JOYWINNIEWISE
* M.E CSE, Francis Xavier Engineering college
Tirunelveli , India
** Assistant Professor ,CSE Department
Francis Xavier Engineering College, Tirunelveli , India
*** HOD & Professor, CSE Department
Francis Xavier Engineering College, Tirunelveli , India
ABSTRACT
I. INTRODUCTION
Cloud computing or in simpler shorthand just "the cloud", also focuses on maximizing the
effectiveness of the shared resources. Cloud resources are usually not only shared by multiple users
but are also dynamically reallocated per demand. This can work for allocating resources to users. For
example, a cloud computer facility that serves European users during European business hours with a
specific application (e.g., email) may reallocate the same resources to serve North American users
during North America's business hours with a different application (e.g., a web server). This
approach should maximize the use of computing power thus reducing environmental damage as well
since less power, air conditioning, rack space, etc. are required for a variety of functions. Mobile
Cloud Computing (MCC) is the combination of cloud computing, mobile computing and wireless
networks to bring rich computational resources to mobile users, network operators, as well as cloud
computing providers. The ultimate goal of MCC is to enable execution of rich mobile applications on
a plethora of mobile devices, with a rich user experience. MCC provides business opportunities for
mobile network operators as well as cloud providers. More comprehensively, MCC can be defined as
"a rich mobile computing technology that leverages unified elastic resources of varied clouds and
network technologies toward unrestricted functionality, storage, and mobility to serve a multitude of
Mobile Cloud Storage acts as the primary file storage for the mobile devices. Data privacy is a very
important concern in such cloud storage devices because the mobile device users to store and retrieve files
or data on the cloud through wireless communication, which improves the data availability and facilitates
the file sharing process without draining the local mobile device resources. In this, a traffic and energy
saving encrypted search scheme is used for simplified search and retrieval process that reduces the
network traffic for the communication of the selected index and reduces the file retrieval time. This
scheme involves three processes such as the process of authentication is used by the data owner to
authenticate the data users. The file set and its index are stored in the cloud after being encrypted by the
data owner during the preprocessing and indexing stages. The data user searches the files corresponding
to a keyword by sending a request to the cloud server in the search and retrieval processes.