indivRisk: Individual Risk computation

In sdcMicro: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

Individual Risk computation

Description

Estimation of the risk for each observation. After the risk is computed one can use e.g. the function localSuppr() for the protection of values of high risk. Further details can be found at the link given below.

Usage

indivRisk(x, method = "approx", qual = 1, survey = TRUE)

Arguments

x	object from class freqCalc
method	approx (default) or exact
qual	final correction factor
survey	TRUE, if we have survey data and FALSE if we deal with a population.

Details

S4 class sdcMicro objects are only supported by function measure_risk that also estimates the individual risk with the same method.

Value

• rk: base individual risk

• method: method

• qual: final correction factor

• fk: frequency count

• knames: colnames of the key variables

Note

The base individual risk method was developed by Benedetti, Capobianchi and Franconi

Author(s)

Matthias Templ. Bug in method “exact” fixed since version 2.6.5. by Youri Baeyens.

References

Templ, M. and Kowarik, A. and Meindl, B. Statistical Disclosure Control for Micro-Data Using the R Package sdcMicro. Journal of Statistical Software, 67 (4), 1–36, 2015. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v067.i04")}

Franconi, L. and Polettini, S. (2004) Individual risk estimation in mu-Argus: a review. Privacy in Statistical Databases, Lecture Notes in Computer Science, 262–272. Springer

Machanavajjhala, A. and Kifer, D. and Gehrke, J. and Venkitasubramaniam, M. (2007) l-Diversity: Privacy Beyond k-Anonymity. ACM Trans. Knowl. Discov. Data, 1(1)

additionally, have a look at the vignettes of sdcMicro for further reading.

See Also

measure_risk, freqCalc

Examples

## example from Capobianchi, Polettini and Lucarelli:
data(francdat)
f <- freqCalc(francdat, keyVars=c(2,4,5,6),w=8)
f
f$fk
f$Fk
## individual risk calculation:
indivf <- indivRisk(f)
indivf$rk

sdcMicro documentation built on Sept. 27, 2023, 5:07 p.m.