The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

R/dynetNLAResistance

R/dynetNLAResistance is an R package of anonymization algorithm to resist neighbor label attack in a dynamic network.

Installation

You can install the stable version of R/dynetNLAResistance from CRAN:

install.packages("dynetNLAResistance")

Example

You can create a dynamic network by function make.virtual.dynamic.network. Then group it by function lw.grouping,and anonymize it by function anonymization.

library(dynetNLAResistance)
dynet <- make.virtual.dynamic.network()
dynet.grouped <- lw.grouping(dynet,l = 2, w = 1)
## candidates number:  21  selected id:  V22987 
## Grouping t1 50%
## candidates number:  20  selected id:  V905 
## Grouping t1 100%
## merge.groups
## candidates number:  25  selected id:  V22987 
## Grouping t2 50%
## candidates number:  25  selected id:  V40271 
## Grouping t2 100%
## merge.groups
## candidates number:  30  selected id:  V64428 
## Grouping t3 50%
## candidates number:  29  selected id:  V40271 
## Grouping t3 100%
## merge.groups
## candidates number:  35  selected id:  V64428 
## Grouping t4 50%
## candidates number:  35  selected id:  V40271 
## Grouping t4 100%
## merge.groups
## candidates number:  39  selected id:  V64428 
## Grouping t5 33.33333%
## candidates number:  38  selected id:  V78667 
## Grouping t5 66.66667%
## candidates number:  38  selected id:  V40271 
## Grouping t5 100%
## merge.groups
## candidates number:  40  selected id:  V26750 
## Grouping t6 20%
## candidates number:  39  selected id:  V61271 
## Grouping t6 40%
## candidates number:  39  selected id:  V64428 
## Grouping t6 60%
## candidates number:  38  selected id:  V78667 
## Grouping t6 80%
## candidates number:  39  selected id:  V40271 
## Grouping t6 100%
## merge.groups
## candidates number:  43  selected id:  V26750 
## Grouping t7 16.66667%
## candidates number:  43  selected id:  V35010 
## Grouping t7 33.33333%
## candidates number:  42  selected id:  V22987 
## Grouping t7 50%
## candidates number:  39  selected id:  V78667 
## Grouping t7 66.66667%
## candidates number:  41  selected id:  V40271 
## Grouping t7 83.33333%
## candidates number:  38  selected id:  V8536 
## Grouping t7 100%
## merge.groups
## candidates number:  46  selected id:  V26750 
## Grouping t8 14.28571%
## candidates number:  46  selected id:  V35010 
## Grouping t8 28.57143%
## candidates number:  44  selected id:  V46066 
## Grouping t8 42.85714%
## candidates number:  45  selected id:  V22987 
## Grouping t8 57.14286%
## candidates number:  43  selected id:  V78667 
## Grouping t8 71.42857%
## candidates number:  45  selected id:  V40271 
## Grouping t8 85.71429%
## candidates number:  43  selected id:  V8536 
## Grouping t8 100%
## merge.groups
## candidates number:  49  selected id:  V26750 
## Grouping t9 12.5%
## candidates number:  49  selected id:  V35010 
## Grouping t9 25%
## candidates number:  48  selected id:  V46066 
## Grouping t9 37.5%
## candidates number:  49  selected id:  V22987 
## Grouping t9 50%
## candidates number:  47  selected id:  V78667 
## Grouping t9 62.5%
## candidates number:  46  selected id:  V905 
## Grouping t9 75%
## candidates number:  48  selected id:  V40271 
## Grouping t9 87.5%
## candidates number:  46  selected id:  V8536 
## Grouping t9 100%
## merge.groups
## candidates number:  53  selected id:  V26750 
## Grouping t10 12.5%
## candidates number:  53  selected id:  V35010 
## Grouping t10 25%
## candidates number:  52  selected id:  V46066 
## Grouping t10 37.5%
## candidates number:  53  selected id:  V22987 
## Grouping t10 50%
## candidates number:  51  selected id:  V78667 
## Grouping t10 62.5%
## candidates number:  51  selected id:  V14096 
## Grouping t10 75%
## candidates number:  51  selected id:  V40271 
## Grouping t10 87.5%
## candidates number:  50  selected id:  V8536 
## Grouping t10 100%
## merge.groups
g5.a <- anonymization(dynet.grouped$t5, alpha = 1, beta = 2, gamma = 3)
## Merged group-set's size:  3 
## Vertex number:  43 
## iterating...
## Anonymized nodes with sensitive label:
##  V97632 
## 
## Merged group-set's size:  2 
## Vertex number:  45 
## iterating...
## Anonymized nodes with sensitive label:
##  V97632 V20247 
## 
## Merged group-set's size:  1 
## Vertex number:  53 
## iterating...
## Anonymized nodes with sensitive label:
##  V97632 V20247 V97788

License

MIT

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.