Abstract— A bloom filter is a simple, space-efficient, randomized data structure for concisely representing a static data set, in order to support approximate membership querie...
—Bloom filters allow membership queries over sets with allowable errors. It is widely used in databases, networks and distributed systems and it has great potential for distribut...
Kun Xie, Yinghua Min, Dafang Zhang, Jigang Wen, Ga...
Network Intrusion Detection and Prevention Systems (IDPS) use string matching to scan Internet packets for malicious content. Bloom filters offer a mechanism to search for a large...
Michael Attig, Sarang Dharmapurikar, John W. Lockw...
—Bloom filter is effective, space-efficient data structure for concisely representing a data set and supporting approximate membership queries. Traditionally, researchers often b...