Papers › The Deletable Bloom filter: A new member of the Bloom family
The Deletable Bloom filter: A new member of the Bloom family
Christian Esteve Rothenberg, Carlos A. B. Macapuna, Fabio L. Verdi, Mauricio F. Magalhaes
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We introduce the Deletable Bloom filter (DlBF) as a new spin on the popular data structure based on compactly encoding the information of where collisions happen when inserting elements. The DlBF design enables false-negative-free deletions at a fraction of the cost in memory consumption, which turns to be appealing for certain probabilistic filter applications.
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