Results 51 to 60 of about 2,234,842 (311)
Privacy preserving linkage using multiple dynamic match keys
International Journal of Population Data Science, 2019 Introduction Available and practical methods for privacy preserving linkage have shortcomings: methods utilising anonymous linkage codes provide limited accuracy while methods based on Bloom filters have proven vulnerable to frequency-based attacks ...
Sean Randall +3 more
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Weightless Neural Networks as Memory Segmented Bloom Filters
Neurocomputing, 2020 Weightless Neural Networks (WNNs) are Artificial Neural Networks based on RAM memory broadly explored as solution for pattern recognition applications.
Leandro Santiago +9 more
semanticscholar +1 more source
A cancelable biometric identification scheme based on bloom filter and format-preserving encryption
Journal of King Saud University: Computer and Information Sciences, 2022 Biometric based authentication systems are being prominently used everywhere. The biometric data, popularly known as a biometric template, is generally stored on the database server in its unprotected form.
Vidhi Bansal, Surabhi Garg
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CoRR, 2019 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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Bloom Filters in Adversarial Environments [PDF]
ACM Transactions on Algorithms, 2015 Many efficient data structures use randomness, allowing them to improve upon deterministic ones. Usually, their efficiency and correctness are analyzed using probabilistic tools under the assumption that the inputs and queries are independent of the internal randomness of the data structure.
Moni Naor, Eylon Yogev
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PSBF: p-adic Integer Scalable Bloom Filter
Sensors, 2023 Given the challenges associated with the dynamic expansion of the conventional bloom filter’s capacity, the prevalence of false positives, and the subpar access performance, this study employs the algebraic and topological characteristics of p-adic ...
Wenlong Yi +4 more
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Partitioned Learned Bloom Filter
CoRR, 2020 Bloom filters are space-efficient probabilistic data structures that are used to test whether an element is a member of a set, and may return false positives. Recently, variations referred to as learned Bloom filters were developed that can provide improved performance in terms of the rate of false positives, by using a learned model for the ...
Kapil Vaidya +3 more
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A Partially Distributed Intrusion Detection System for Wireless Sensor Networks
Sensors, 2013 The increasing use of wireless sensor networks, which normally comprise several very small sensor nodes, makes their security an increasingly important issue. They can be practically and efficiently secured using intrusion detection systems. Conventional
Eung Jun Cho +3 more
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Secure Privacy Preserving Record Linkage of Large Databases by Modified Bloom Filter Encodings
International Journal of Population Data Science, 2017 Objective In most European settings, record linkage across different institutions has to be based on personal identifiers such as names, birthday or place of birth. To protect the privacy of research subjects, the identifiers have to be encrypted.
Rainer Schnell, Christian Borgs
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A Cuckoo Filter Modification Inspired by Bloom Filter [PDF]
AUT Journal of Electrical Engineering, 2019 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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