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differentiated privacy preservation in the presence of multi-keyword document search. The differentiation is necessary as terms and phrases bear innate differences in their semantic meanings. In this paper, we present <sc>$\epsilon
service failure, inefficient application, and privacy problem when they are applied to the multi-cloud applications. In this paper, we propose a Privacy-preserving Similarity Search scheme termed PSS. We exploit the n-grams method and counting bloom filters to define and compute the keyword-order. Based on this order, all
Polynomial evaluation is an important tool in constructing many cryptographic protocols, such as proof of retrievability and verifiable keyword search. However, for the high degree polynomials derived from very large datasets, polynomial evaluation becomes an intractable problem, especially for resource limited
Web service selection involves finding services from a possibly large database of similar services. The challenges involved in finding a suitable service include large time consumption, and difficulty of finding a perfect match according to the user specified search keywords. For instance, users may have privacy and
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.