kmtricks: efficient and flexible construction of Bloom filters for large sequencing data collections. [PDF]
Bioinform Adv, 2022 When indexing large collections of short-read sequencing data, a common operation that has now been implemented in several tools (Sequence Bloom Trees and variants, BIGSI, ..) is to construct a collection of Bloom filters, one per sample.
Lemane T +3 more
europepmc +2 more sources
Privacy-preserving record linkage using Bloom filters [PDF]
BMC Medical Informatics and Decision Making, 2009 Background Combining multiple databases with disjunctive or additional information on the same person is occurring increasingly throughout research. If unique identification numbers for these individuals are not available, probabilistic record linkage is
Reiher Jörg +2 more
doaj +2 more sources
A lightweight authentication and privacy-preserving scheme for VANETs using TESLA and Bloom Filters
ICT Express, 2018 In Vehicular Ad hoc Networks (VANETs), broadcasted beacon messages are critical as most safety applications rely on them. However, the design of a secure broadcast authentication faces many security and privacy challenges as vehicles are vulnerable to ...
Shihan Bao +5 more
doaj +2 more sources
Efficiency and Privacy in Record Linkage: Evaluating a Novel Blocking Technique Implemented on Cryptographic Longterm Keys [PDF]
International Journal of Population Data ScienceEfficient privacy-preserving record linkage (PPRL) is essential for integrating data from different providers without exposing personally identifiable information (PII).
Dean Resnick, Núria Adell Raventós
doaj +2 more sources
Set reconciliation based on counting Bloom filters [PDF]
Tongxin xuebao, 2012 A new set reconciliation algorithm was presented,which called counting-Bloom-filter based set reconciliation(CBFSR).This method represented sets SA and SB as counting Bloom filters,subtracts SA's counting Bloom filter from SB's counting Bloom filter,the ...
Xiao-mei TIAN +5 more
doaj +3 more sources
Tierra: multi-tiered arrays and recency-aware hot data decision [PDF]
Scientific ReportsHot data identification plays a critical role in a wide range of computing systems, including memory hierarchy management, database optimization, and large-scale storage infrastructures.
Hyerim Lee, Dongchul Park
doaj +2 more sources
A novel lightweight medical blockchain data query scheme [PDF]
Scientific ReportsTo address the limitations of lightweight medical blockchains in terms of data query efficiency and nonexistence proofs, we propose a novel lightweight medical blockchain data query scheme. First, the XGBoost algorithm is employed to predict medical data
Yunzhen Zhu +5 more
doaj +2 more sources
Blocked Bloom Filters with Choices [PDF]
CoRRProbabilistic filters are approximate set membership data structures that represent a set of keys in small space, and answer set membership queries without false negative answers, but with a certain allowed false positive probability. Such filters are widely used in database systems, networks, storage systems and in biological sequence analysis because
Johanna Elena Schmitz +2 more
openaire +5 more sources
Pattern Matching for DNA Sequencing Data Using Multiple Bloom Filters. [PDF]
Biomed Res Int, 2019 Storing and processing of large DNA sequences has always been a major problem due to increasing volume of DNA sequence data. However, a number of solutions have been proposed but they require significant computation and memory.
Najam M +4 more
europepmc +2 more sources
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters [PDF]
International Conference on Pattern Recognition Applications and Methods, 2021 Bloom Filters are a fundamental and pervasive data structure. Within the growing area of Learned Data Structures, several Learned versions of Bloom Filters have been considered, yielding advantages over classic Filters.
G. Fumagalli +4 more
semanticscholar +1 more source