@article{MAKHILLJEAS201813115394,
    title = {Secure Ranked Keyword Search Algorithm for Encrypted Cloud Data using
Double Indexing Technique},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {1},
    pages = {32-37},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.32.37},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.32.37},
    author = {Payal and},
    keywords = {Ranked keyword based search,score dynamics,order preserving mapping,cloud computing,concept based search,IMEI based security},
    abstract = {With the emergence of cloud computing, most of the data owners are outsourcing their corpus data
from local sites to the commercial public cloud for great flexibility and economic savings. But tactful data has
to be encrypted before outsourcing for preserving data privacy and also encrypted data gives an effective data
utilization services which are a challenging task. However, traditional searchable encryption techniques use
Boolean search to search data via. keywords but this technique not satisfied the effective data utilization for
multi-user data need and also to retrieved massive data files from the cloud. This problem is solving by using
ranked keyword search over the encrypted cloud data which improves system usability and file retrieval
accuracy. Further to protect the score information one-to-many order-preserving mapping techniques has
developed and explored the relevance score from information retrieval to build a secure searchable index. In this
study, we used double indexing concept to improve retrieval speed of search request. Also, score dynamics
concept is explored for to make an update in encrypted cloud files. In this study to improve the efficiency and
security, we proposed a system where we will be adding a physical layer security component which will help
the system to be more secure and less vulnerable to attacks.}
    }