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isowned by multi persons. In this approach, we haveproposed a new scheme to deal with preserving the privacyin encrypted cloud data using multi-keyword searching. Toenable cloud server to perform access securely to searchingthe data with no cognizance about the real data of bothkeywords and trapdoors.
A user stores his personal files in a cloud, and retrieves them wherever and whenever he wants. For the sake of protecting the user data privacy and the user queries privacy, a user should store his personal files in an encrypted form in a cloud, and then sends queries in the form of encrypted keywords. However, a
encrypting digital goods maybe not work well if buyers and sellers trade with the digital goods in this environment. The reason is that the cloud server could not decide which digital goods contain certain keywords requested by a buyer if the meta data of the encrypted digital goods is not searchable. In this paper, we propose
Encryption (SSE) to facilitate keyword-based searches on the ciphertexts. However, no prior SSE constructions can simultaneously achieve sublinear search time, efficient update and verification, and on-demand file retrieval, which are all essential to the development of big data. To address this, we propose a Verifiable Ranked
, which will allow them to utilize cloud services without the risks of leaking private data to outsiders and even service providers. In this paper, we propose an exclusive-or (XOR) homomorphism encryption scheme to support secure keyword searching on encrypted data. First, this scheme specifies a new data protection method
Many businesses today save time and money, and increase their agility, by outsourcing mundane IT tasks to cloud providers. The author argues that similar methods can be used to overcome the complexities inherent in increas ingly data-intensive, computational, and collaborative scientific research. He describes Globus Online, a system that he and his colleagues are developing to realize this vision.
flexibility. Three ontologies are collaborating efficiently in the WICHAI platform: PhuketTourism ontology, Language ontology and UserProfile ontology. Transliterated words processing is supported to search the most relevant words. The evaluation is based on the accuracy of results, relevant keywords and tourists satisfaction
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.