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In recent years many researchers have been seeing the benefits of third party data storage server cloud computing. However, in spite of countless advantages of cloud technologies, researchers have also been worried about its security and privacy concerns. Finally, it's about the storage and security of the confidential documents as well as maintaining privacy in datasets while preparing adequate retrieval and also other searching techniques have been recognized as one of the major issues in this particular area. To tackle such issues the techniques and strategies which mostly deal with the…mehr

Produktbeschreibung
In recent years many researchers have been seeing the benefits of third party data storage server cloud computing. However, in spite of countless advantages of cloud technologies, researchers have also been worried about its security and privacy concerns. Finally, it's about the storage and security of the confidential documents as well as maintaining privacy in datasets while preparing adequate retrieval and also other searching techniques have been recognized as one of the major issues in this particular area. To tackle such issues the techniques and strategies which mostly deal with the conjunctive keyword search rather than a phrase search scheme. This leads to difficulty in identifying the phrases and some of the current phrase search algorithms demand more storage cost than other conjunctive keyword techniques. A novel approach in the field of encrypted searching that allows the rapid phrase exploring system to work easier and work makes use of the incredible Bloom filter technology using function n-grams. The technique emphasizes on the response time by yielding the requested document to the user within no time and adaptable to defending against inclusion-relation attack.
Autorenporträt
Dra. Krishna Keerthi Chennam, tem mais de 15 anos de experiência em ensino e pesquisa. Ela obteve B.Tech e M.Tech da JNTUH e Ph.D da Gitam (Deemed to be University), Hyderabad