@article{MAKHILLAJIT20171666658,
    title = {Secure Hybrid Search in Encrypted Cloud Data},
    journal = {Asian Journal of Information Technology},
    volume = {16},
    number = {6},
    pages = {392-398},
    year = {2017},
    issn = {1682-3915},
    doi = {ajit.2017.392.398},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2017.392.398},
    author = {D.,S. and},
    keywords = {Category based keyword search,confidential data,searchable encryption,cloud computing,hybrid search algorithm,hosting,practical},
    abstract = {Cloud computing grow to be ubiquitous which makes more insightful information are being
centralized into the cloud. To protection the data privacy usually sensitive data have to be encrypted before
outsourcing. This makes very challenging task as effective data utilization. To store data on data storage
servers such as mail servers and files servers in encrypted form to reduce security and privacy risks. But this
usually implies that one has to sacrifice functionality for security. For example, if a client wishes to retrieve only
documents containing certain words, it was not previously known how to let the data storage server perform
the search and answer the query without loss of data confidentiality. To overcome these issues traditional
searchable encryption schemes allow a user to securely search over encrypted data through keywords and
selectively retrieve files of interest, these techniques support only exact keyword search. In this study, we
define and solve the problem of effective yet, secure keyword search over encrypted cloud data. This hybrid
secure search greatly enhances system usability by returning the matching files in a ranked and categorized
regarding to certain relevance criteria (e.g., keyword frequency) with light weight many to many authentication
along with symbol-based tree traverse search scheme will make one step closer towards practical deployment
of privacy-preserving data hosting services in cloud computing.}
    }