Results 31 to 40 of about 628,634 (288)
Bloofi: Multidimensional Bloom filters [PDF]
Information Systems, 2015 Bloom filters are probabilistic data structures commonly used for approximate membership problems in many areas of Computer Science (networking, distributed systems, databases, etc.). With the increase in data size and distribution of data, problems arise where a large number of Bloom filters are available, and all them need to be searched for ...
Adina Crainiceanu, Daniel Lemire
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On the Privacy of Counting Bloom Filters
IEEE Transactions on Dependable and Secure Computing, 2023 Bloom filters are widely used in networking and computing to accelerate membership checking. In many applications filters store sensitive data, so their privacy is of primary concern. At first glance, it seems that extracting the set of elements inserted from the filter would not be possible, because in Bloom filters elements are mapped to positions ...
Pedro Reviriego +5 more
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A Review on Role of Bloom Filter on DNA Assembly
IEEE Access, 2019 The advancement of DNA assembly techniques has greatly boosted up the bioinformatics research and discovery. More precisely, DNA assembly has achieved tremendous popularity due to the ability to decode the hidden information in the DNA.
Sabuzima Nayak, Ripon Patgiri
doaj +1 more source
Deep Learning-Based Bloom Filter for Efficient Multi-key Membership Testing
Data Science and Engineering, 2023 Multi-key membership testing plays a crucial role in computing systems and networking applications, encompassing web search, mail systems, distributed databases, firewalls, and network routing.
Haitian Chen +6 more
doaj +1 more source
eBF: an enhanced Bloom Filter for intrusion detection in IoT
Journal of Big Data, 2023 Intrusion Detection is essential to identify malicious incidents and continuously alert many users of the Internet of Things (IoT). The constant monitoring of events generated from many devices connected to the IoT and the extensive analysis of every ...
Fitsum Gebreegziabher Gebretsadik +2 more
doaj +1 more source
The Bloom paradox: When not to use a Bloom filter? [PDF]
2012 Proceedings IEEE INFOCOM, 2012 In this paper, we uncover the Bloom paradox in Bloom Filters: Sometimes, the Bloom Filter is harmful and should not be queried. We first analyze conditions under which the Bloom paradox occurs in a Bloom Filter and demonstrate that it depends on the a priori probability that a given element belongs to the represented set. We show that the Bloom paradox
Ori Rottenstreich, Isaac Keslassy
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Hunting the Pertinency of Bloom Filter in Computer Networking and Beyond: A Survey
Journal of Computer Networks and Communications, 2019 Bloom filter is a probabilistic data structure to filter a membership of a set. Bloom filter returns “true” or “false” with an error tolerance depending on the presence of the element in the set.
Ripon Patgiri +2 more
doaj +1 more source
Increasing the power efficiency of Bloom filters for network string matching [PDF]
, 2006 Although software based techniques are widely accepted in computer security systems, there is a growing interest to utilize hardware opportunities in order to compensate for the network bandwidth increases.
Kocak, Taskin +3 more
core +1 more source
William Brice and Arthur Bloom reminisce [PDF]
, 2014 This video is about the history of geological sciences at Cornell University.The University Faculty Memorial Statement for Arthur L.
Brice, William, Bloom, Arthur
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Energy-efficient pipelined bloom filters for network intrusion detection [PDF]
, 2006 Software-based detection techniques are commonly used to identify the predefined signatures in network streams. However, the software-based techniques can not keep up with the speeds that network bandwidth increases.
Kocak, Taskin +5 more
core +1 more source