Results 11 to 20 of about 20,075 (258)
Evaluation Performance of Bloom Filter in Blockchain Network
A blockchain is a secret, scalability and decentralized p2p network in which all nodes follow similar protocols, preventing any single node from controlling the basic structure.
Kilan M. Hussein, M.F. Al-Gailani
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BBF: Bloom Filter Variant for Blockchain
Bloom filter (BF) is highly efficient for membership queries, which is widely used in blockchain mem-bership queries. Aiming at the existing BFs do not exploit the data characteristics of blockchain and the features of modern processors, this paper ...
FAN Xing, NIU Baoning
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L-rCBF: Learning-Based Key–Value Data Structure for Dynamic Data Processing
Learning-based data structures, such as a learned Bloom filter and a learned functional Bloom filter (L-FBF), have recently been proposed to replace traditional structures.
Yejee Lee, Hayoung Byun
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A Cuckoo Filter Modification Inspired by Bloom Filter [PDF]
Probabilistic data structures are so popular in membership queries, network applications, and so on. Bloom Filter and Cuckoo Filter are two popular space efficient models that incorporate in set membership checking part of many important protocols.
Hananeh Sasaniyan Asl +2 more
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Preventing DDoS using Bloom Filter: A Survey
Distributed Denial-of-Service (DDoS) is a menace for service provider and prominent issue in network security. Defeating or defending the DDoS is a prime challenge. DDoS make a service unavailable for a certain time.
Ripon Patgiri +2 more
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On the Privacy of Counting Bloom Filters
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
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
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Deep Learning-Based Bloom Filter for Efficient Multi-key Membership Testing
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
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The Distributed Bloom Filter is a space-efficient, probabilistic data structure designed to perform more efficient set reconciliations in distributed systems. It guarantees eventual consistency of states between nodes in a system, while still keeping bloom filter sizes as compact as possible.
Lum Ramabaja, Arber Avdullahu
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Bloofi: Multidimensional Bloom filters [PDF]
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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