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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Antichi, G. Di Pietro, A. Ficara, D. Giordano, S. Russo, F. Vitucci, F. |
| Copyright Year | 2010 |
| Abstract | A Bloom Filter is an efficient randomized data structure for membership queries on a set with a certain known false positive probability. Bloom Filters (BFs) are very attractive for their limited memory requirements and their easy construction which make them a popular choice for many tasks in network devices. However, in a number of network applications, more than simple probabilistic membership queries is required, and BFs can be adopted as a coarse filtering stage, leaving the ultimate filtering and classification process to other techniques, such as hash tables or tree-like structures. In this paper we propose a scheme to extend BFs with ``indexing'' features so that when an element $x$ is queried, an univocal index of that element is returned, which in turn can be used as an address for a table, just as a perfect hashing scheme. This extension, called indexed Bloom Filter (iBF), comes at the cost of a small increment of false positive probability and simply fits in existing BF-based applications. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 190488 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424464029 |
| ISSN | 19381883 |
| e-ISBN | 9781424464043 |
| DOI | 10.1109/ICC.2010.5501806 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-23 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Costs Data structures Application software Communications Society Information filtering Information filters Payloads Automata Hardware Bandwidth |
| Content Type | Text |
| Resource Type | Article |
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