International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,June 2017,

Topic : Dynamic Secret Key Generation for Multi Data User in Cloud Computing

Authors:Chethan R || Divya D, Kavya H, Prashanth,Vani Saptasagar

Abstract:CLOUD computing is a subversive technology that is changing the way IT hardware and software are designed and purchased. Cloud computing provides abundant benefits including easy access, decreased costs, quick deployment and flexible resource management, etc. It has become highly popular for data owners to outsource their data to public cloud servers while allowing data users to retrieve this data. For privacy concerns, a secure search over encrypted cloud data has motivated several research works under the single owner model. However, most cloud servers in practice do not just serve one owner; instead, they support multiple owners to share the benefits brought by cloud computing. In this paper, we propose Dynamic Secret key generation for multi user in cloud computing. To enable cloud servers to perform secure search without knowing the actual data of both keywords and trapdoors, we systematically construct a novel secure search protocol. To rank the search results and preserve the privacy of relevance scores between keywords and files, we propose a novel additive order and privacy preserving function family. To prevent the attackers from eavesdropping secret keys and pretending to be legal data users submitting searches, we propose a novel dynamic secret key generation protocol and a new data user authentication protocol.

Keywords: Cloud Computing, multiple users, dynamic secret key, ranked keyword search

Download Paper


DOI: 01.1617/vol4/iss6/pid35472

Volume4,June 2017,

Topic : Cloud Computing and Semantic web: An Interplay

Authors:Chethan R || Divya D, Kavya H, Prashanth,Vani Saptasagar

Abstract:CLOUD computing is a subversive technology that is changing the way IT hardware and software are designed and purchased. Cloud computing provides abundant benefits including easy access, decreased costs, quick deployment and flexible resource management, etc. It has become highly popular for data owners to outsource their data to public cloud servers while allowing data users to retrieve this data. For privacy concerns, a secure search over encrypted cloud data has motivated several research works under the single owner model. However, most cloud servers in practice do not just serve one owner; instead, they support multiple owners to share the benefits brought by cloud computing. In this paper, we propose Dynamic Secret key generation for multi user in cloud computing. To enable cloud servers to perform secure search without knowing the actual data of both keywords and trapdoors, we systematically construct a novel secure search protocol. To rank the search results and preserve the privacy of relevance scores between keywords and files, we propose a novel additive order and privacy preserving function family. To prevent the attackers from eavesdropping secret keys and pretending to be legal data users submitting searches, we propose a novel dynamic secret key generation protocol and a new data user authentication protocol.

Keywords: Cloud Computing, multiple users, dynamic secret key, ranked keyword search

Download Paper


DOI: 01.1617/vol4/iss9/pid35472

Volume4,June 2017,

Topic : Detecting Better Keyword Query Suggestion Based on Location Using Weighted Keyword Document The graph on Partition Based Algorithm.

Authors:Chethan R || Divya D, Kavya H, Prashanth,Vani Saptasagar

Abstract:CLOUD computing is a subversive technology that is changing the way IT hardware and software are designed and purchased. Cloud computing provides abundant benefits including easy access, decreased costs, quick deployment and flexible resource management, etc. It has become highly popular for data owners to outsource their data to public cloud servers while allowing data users to retrieve this data. For privacy concerns, a secure search over encrypted cloud data has motivated several research works under the single owner model. However, most cloud servers in practice do not just serve one owner; instead, they support multiple owners to share the benefits brought by cloud computing. In this paper, we propose Dynamic Secret key generation for multi user in cloud computing. To enable cloud servers to perform secure search without knowing the actual data of both keywords and trapdoors, we systematically construct a novel secure search protocol. To rank the search results and preserve the privacy of relevance scores between keywords and files, we propose a novel additive order and privacy preserving function family. To prevent the attackers from eavesdropping secret keys and pretending to be legal data users submitting searches, we propose a novel dynamic secret key generation protocol and a new data user authentication protocol.

Keywords: Cloud Computing, multiple users, dynamic secret key, ranked keyword search

Download Paper


DOI: 01.1617/vol4/iss12/pid35472


Related Articles

Wormhole Attack Prevention and Detection Approaches in Mobile Ad hoc Networks: A Survey.

Authors: Avinash Singh || Ram Singar Verma

Doi : 01.1617/vol4/iss03/pid34591

Volume4 ,March 2017.

Developing a GIS Platform for Tourism marketing and promotion In Nigeria: Case Study Of Bauchi State

Authors: Abubakar Siddiq Ango || Abdulsalam Waheed Abdulfatah, Idrissa Djibo

Doi : 01.1617/vol3/iss09/pid91783

Volume3 ,September 2017.

Decentralized Trust Management and Trust Worthiness of Cloud Environments

Authors: Qhubaib Syed || Syed Afzal Ahmed,Syed Abdul Haq

Doi : 01.1617/vol4/iss4/pid21386

Volume4 ,April 2017.

Brain Controlled Chess Based on Virtual Reality Control for Paralyzed Patients

Authors: Sindhura Rao || Ashwini S,Kusuma Mohanchandra

Doi : 01.1617/vol4/iss4/pid82074

Volume4 ,April 2017.

Multilevel Authentication System

Authors: Nichita Silva Lobo || Beverly Rodrigues,Pavni Alluri,Prathibha Singh,Nicole Alvares

Doi : 01.1617/vol4/iss4/pid82135

Volume4 ,April 2017.

Stock Prediction Using Clustering And Regression Techniques

Authors: Shalini Lotlikar || Megha Ainapurkar

Doi : 01.1617/vol4/iss4/pid39708

Volume4 ,April 2017.

Brain Tumor Detection using Image Segmentation

Authors: Siddhi N. Nerurkar ||

Doi : 01.1617/vol4/iss4/pid02845

Volume4 ,April 2017.

Video Mining using Query by Example

Authors: Rosebud Valadares ||

Doi : 01.1617/vol4/iss4/pid89542

Volume4 ,April 2017.

Fuzzy Opinion Mining for Product Recommender System

Authors: Aarti Bandodker ||

Doi : 01.1617/vol4/iss4/pid03652

Volume4 ,April 2017.

Aadhaar and Server based Electoral system

Authors: Yugansh Garg || Sakshi Mishra

Doi : 01.1617/vol4/iss4/pid69053

Volume4 ,April 2017.

.

Editor-in-Chief

Editor Image


Dr. Allon Guez
Professor, Drexel University,
USA


View more


IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

Google Scholar Profile

Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

All Issues


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


IFERP OTHER JOURNALS


Subscribe

           Email:

SOCIAL MEDIA