Ranked Query Assistance in Untrusted Cloud Helper without Reveal Sensitive Data
S. V. Jyosthna, C. Usha Rani · 2015
Now-a-days Cloud computing is become more popular as cloud infrastructure for storing the data. Data owners are stored their data in public cloud for the flexibility and cost-preserving. In data privacy bulwark, afore preserving sensitive data it is encrypted. Utilizer trust, privacy and security are more concerns. Most frequently used queries for online data analytic is the range query. Consumer-centric cloud computing is utilized for development of keenly intellective electronic contrivances amalgamated with the cloud computing technologies. Different cloud accommodations are provided to the customers with the premise that an efficacious and efficient cloud search accommodation is provided. Locality-sensitive hashing is provided the approximate queries that to distributed data servers which give quandary of the imbalanced load and space inefficiency, in which limits the query precision and incurs long query latency between users and cloud servers. This type of query accommodations could be expensive for data owner. More incremented accommodations computing and cloud computing, it is possible to outsource immensely colossal databases to database accommodation providers and the providers maintain the range-query accommodation. Utilizing outsourced accommodations, the data owner can reduce the cost of storing data in cloud infrastructure. Cloud computing providing reliable, customized, and ensured computing dynamic environment for end users.