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Abstract
This paper describe secure top-k query dispensation scheme that is secure under the defense model. The speech data privacy is guaranteed by encryption as well as a careful generation of speech data indexes. In this paper make to transform a top-k query, to a top-range query and adopt membership testing to test whether a associate pattern should be included in the query result or not. This revolution allows the cargo space node to find Top-k smallest or leading speech data values without using numerical alliance operations, which is a key act for the scheme to be secure under the defense model. In the proposed system, it defines a new type of conduct patterns for WSNs, termed as associated sensor patterns to capture the true correlation among sensor speech data. To discover such patterns, it uses devise a highly condensed tree structure, called Weight Coupled Sensor Pattern Tree (WASP-tree) and a mining algorithm that can ably discover patterns from Sensor Catalog (SC) with a single scan.