You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+11-1Lines changed: 11 additions & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -1,5 +1,15 @@
1
1
# AnonyPy
2
-
Anonymization library for python
2
+
Anonymization library for python.
3
+
AnonyPy provides following privacy preserving techniques for the anonymization.
4
+
- K Anonymity
5
+
- L Diversity
6
+
- T Closeness
7
+
8
+
## The Anonymization method
9
+
- Anonymization method aims at making the individual record be indistinguishable among a group record by using techniques of generalization and suppression.
10
+
- Turning a dataset into a k-anonymous (and possibly l-diverse or t-close) dataset is a complex problem, and finding the optimal partition into k-anonymous groups is an NP-hard problem.
11
+
- AnonyPy uses "Mondrian" algorithm to partition the original data into smaller and smaller groups
12
+
- The algorithm assumes that we have converted all attributes into numerical or categorical values and that we are able to measure the “span” of a given attribute Xi.
0 commit comments