CreateDoubleBalancedBF: Double Balanced Bloomfilter Encoding

In PPRL: Privacy Preserving Record Linkage

Double Balanced Bloomfilter Encoding

Description

Double balanced Bloom Filter are created by first creating balanced Bloom Filters, see CreateBalancedBF, negating the whole data set and shuffling each Bloom Filter.

Usage

CreateDoubleBalancedBF(ID, data, password)

Arguments

ID	A character vector containing the ID. The ID vector must have the same size as the number of rows of data.
data	CLKs as created by CreateCLK or CreateBF.
password	A string to encode the routines.

Value

A data.frame containing IDs and the corresponding double balanced bit vector.

References

Schnell, R. (2017): Recent Developments in Bloom Filter-based Methods for Privacy-preserving Record Linkage. Curtin Institute for Computation, Curtin University, Perth, 12.9.2017.

See Also

CreateBalancedBF, CreateBF, CreateCLK, StandardizeString

Examples

# Load test data
testFile <- file.path(path.package("PPRL"), "extdata/testdata.csv")
testData <-read.csv(testFile, head = FALSE, sep = "\t",
  colClasses = "character")

# Create bit vectors e.g. with CreateBF
testData <- CreateBF(ID = testData$V1,
  testData$V7, k = 20, padding = 1, q = 2,
  l = 1000, password = "(H]$6Uh*-Z204q")

# Create Double Balanced Bloom Filters
DBB <- CreateDoubleBalancedBF(ID = testData$ID, data = testData$CLKs,
  password = "hdayfkgh")

PPRL documentation built on Nov. 10, 2022, 5:41 p.m.