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In this paper, we study the problem of privacy-preserving top-k keyword similarity search over outsourced cloud data. Taking edit distance as a measure of similarity, we first build up the similarity keyword sets for all the keywords in the data collection. We then calculate the relevance scores of the elements in the similarity keyword sets by the widely used tf-idf theory. Leveraging both the similarity...
Most single-packet IP trace back approaches that have been proposed demand routers to log the packet digests to trace back, which lead to the linear growth of the storage overhead as the forwarded packets are increasing. This paper proposes a novel single-packet IP trace back approach based on the routing path to alleviate the burden of routers. Our approach introduces the relevant theories of label...
Logging-based approaches are suitable for tracing single-packet attacks but incur heavy overhead for packet-digest storage as well as time overhead for both path recording and recovery. Marking-based approaches incur little trace back overhead but are unable to trace single-packet attacks. Recent researches suggest that hybrid approaches are more promising in efficiently tracing single-packet attacks...
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