Bloom filter (BF) has been widely used to support membership query, ie, to judge whether a
given element x is a member of a given set S or not. Recent years have seen a flourish …

Bloom filters and their variants are widely used as space-efficient probabilistic data
structures for representing sets and are very popular in networking applications. They …

By allowing vehicles to communicate on the roads, vehicular network is becoming a
potential solution to improve the traffic safety. Both trust management and privacy protection …

The use of Bloom filters in network applications has increased rapidly. Since Bloom filters
can produce false positives, the trueness of each positive needs to be identified by referring …

A Bloom filter is a special case of an artificial neural network with two layers. Traditionally, it
is seen as a simple data structure supporting membership queries on a set. The standard …

As a new networking paradigm for future Internet, content centric networking (CCN)
technology provides a contents-oriented communication infrastructure for the rapidly …

As a simple probabilistic data structure, a Bloom filter consumes a small amount of memory
in efficiently dealing with a large set of data elements. Bloom filters stored in on-chip …

High-performance multicast-enabled packet forwarding engines (PFEs), as an essential
component of high-end switches, use a polynomial-time membership query algorithm to …

Set reconciliation between different hosts to hold the same dataset is an important
prerequisite in numerous distributed applications. Sending the entire dataset to achieve set …

SYN flood attack is one of the common ways in which attackers take the advantage of TCP's
three-way handshake connection establishment to overwhelm target systems. With the …