Proceedings of the twentieth annual ACM symposium on Principles of distributed computing
On the false-positive rate of Bloom filters
Information Processing Letters
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Bloom filter is a compact and randomized data structure for representation of a set, in order to answer membership queries; Queries such as "Is element x in set Y?" There is no need to have set Y, for answering these kinds of questions; these questions can be answered by constructed Bloom filter from the set. Therefore, space saving is the main advantage of using Bloom filter. In this paper, first general structure of Bloom filter is explained and then by using the Bloom filter, a new method for error management and detection in computer networks is presented. In this approach, the sender makes a Bloom filter for the flow data that is to be sent and attaches this Bloom filter to data flow and sends them to receiver. The receiver by receiving the data flow and Bloom filter, makes the Bloom filter corresponding to data flow, then by comparing this Bloom filter with the received Bloom filter detects the possible errors. The results show that Bloom filter with the length of x input string is able to detects all errors except for errors with the length of exactly 2x, 4x and... etc.