%0 Journal Article %1 Priyanka_2015 %A Priyanka, Ms. %A N, Mrs. Veena %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Cloud Coordinate Encrypted Multi Privacy Search computing keyword matching preserving %N 4 %P 2474--2478 %R 10.17762/ijritcc2321-8169.1504151 %T Secure and Efficient Utilization of Encrypted Cloud Data using MultiKeyword Ranked Search %U http://dx.doi.org/10.17762/ijritcc2321-8169.1504151 %V 3 %X Cloud Computing is a technology that provides services to users such as software as a service, platform as a service and storage as a service. These services are provided based on Pay-per-Use basis so these services are cost effective and flexible. Due to this advantage of cloud computing, the individuals as well as the enterprises are getting motivated to shift their local sensitive and huge data management system to cloud storage. But the sensitive data has to be encrypted before outsourcing in order to provide security to the data. After the data has outsourced it has to be utilized efficiently without losing the originality as it was stored. In this paper we provide a mechanism called ”Multi-keyword Ranked Search over Encrypted cloud data” that gives better and efficient searched result over the encrypted data taking multiple keywords as query, which obsoletes the tradition searching scheme based on plain text search. And we use a “Coordinate Matching” technique to find as many matches as possible and use “inner product similarity” to retrieve relevance search results. So if user wants to retrieve the data stored on cloud, he can specify the multiple keywords and rank for relevance retrieval of results. Finally results the user with top ranked files.

@article{Priyanka_2015, abstract = {Cloud Computing is a technology that provides services to users such as software as a service, platform as a service and storage as a service. These services are provided based on Pay-per-Use basis so these services are cost effective and flexible. Due to this advantage of cloud computing, the individuals as well as the enterprises are getting motivated to shift their local sensitive and huge data management system to cloud storage. But the sensitive data has to be encrypted before outsourcing in order to provide security to the data. After the data has outsourced it has to be utilized efficiently without losing the originality as it was stored. In this paper we provide a mechanism called ”Multi-keyword Ranked Search over Encrypted cloud data” that gives better and efficient searched result over the encrypted data taking multiple keywords as query, which obsoletes the tradition searching scheme based on plain text search. And we use a “Coordinate Matching” technique to find as many matches as possible and use “inner product similarity” to retrieve relevance search results. So if user wants to retrieve the data stored on cloud, he can specify the multiple keywords and rank for relevance retrieval of results. Finally results the user with top ranked files.}, added-at = {2015-08-27T09:20:01.000+0200}, author = {Priyanka, Ms. and N, Mrs. Veena}, biburl = {https://www.bibsonomy.org/bibtex/2812e688fc06858d861b91ffa48d89f6d/ijritcc}, doi = {10.17762/ijritcc2321-8169.1504151}, interhash = {c181186af563490c007e7d2509882b74}, intrahash = {812e688fc06858d861b91ffa48d89f6d}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Cloud Coordinate Encrypted Multi Privacy Search computing keyword matching preserving}, month = {april}, number = 4, pages = {2474--2478}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-27T09:20:01.000+0200}, title = {Secure and Efficient Utilization of Encrypted Cloud Data using {MultiKeyword} Ranked Search}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.1504151}, volume = 3, year = 2015 }