l-diversity

There are 0 repository under l-diversity topic.

Nuclearstar / K-Anonymity
Anonymization methods for network security.
jupyter-notebook python3 k-anonymity l-diversity t-closeness
Language:Jupyter Notebook 157
IFCA-Advanced-Computing / anjana
ANJANA is a Python library for anonymizing sensitive data
anonymity data-privacy k-anonymity l-diversity privacy t-closeness data-analytics data-anonymization data databases data-science open-data security
Language:Python 35
IFCA-Advanced-Computing / pycanon
pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
anonymity anonymization data-analysis data-privacy data-science datascience k-anonymity l-diversity open open-data privacy-preserving t-closeness
Language:Python 35
ThaminduR / spark-privacy-preserver
Anonymizing Library for Apache Spark
privacy-preserving apache apache-spark mondrian-anonymization clustering-anonymization k-anonymity l-diversity t-closeness differential-privacy
Language:Python 30
SGMAP-AGD / anonymisation
Repertoire sur l'anonymisation
anonymisation k-anonymity l-diversity pseudonymisation differential-privacy
Language:Python 29
glassonion1 / anonypy
Anonymization library for python. Protect the privacy of individuals.
k-anonymity l-diversity mondrian pandas python python3 t-closeness
Language:Python 27
strmprivacy / strm-privacy-diagnostics
A simple Python package to quickly run privacy metrics for your data. Obtain the K-anonimity, L-diversity and T-closeness to asses how anonymous your transformed data is, and how it's balanced with data usability.
k-anonymity l-diversity privacy-enhancing-technologies privacy-tools t-closeness nist
Language:Python 11
Dharmik1710 / L-diversity
Very simple algorithm
python3 l-diversity
Language:Python 5
IFCA-Advanced-Computing / anonymity-ml
Comparison of the performance of machine learning models applied on anonymized data with different techniques
anonymity data-privacy data-science machine-learning k-anonymity l-diversity t-closeness ml ml-classifiers
Language:Jupyter Notebook 2
KasiR07 / Anonymizing-Medical-Records-using-K-Anonymity-and-L-Diversity
In an age of widespread data collecting and sharing, the safeguarding of people’s sensitive information has become critical. Facial photos and tabular data frequently contain personal information that, if revealed, can lead to identity theft, discrimination, and other types of harm.
cybersecurity k-anonymity l-diversity
2
philip-groneberg / prink
Prink (Privacy-Preserving Flink) is a data anonymization solution for Apache Flink, that provides k-anonymity and l-diversity for data streams.
anonymization apache-flink castle generalization k-anonymity l-diversity non-numeric
Language:Java 1
spyridon-ninos / msc_db-security_fall_2020
DB security Semester Homework - MSc Fall 2020
java database-security anonymization k-anonymity l-diversity
Language:Java 1
JonasGreim / data-privacy
Application of K-Anonymity, L-Diversity, T-Closeness on numerical or categorial Data.
data-privacy k-anonymity l-diversity privacy-metrics t-closeness
Language:Jupyter Notebook 0
LoreMenten / Attribute-Identification-And-Utility-Metrics-Pipeline
This repository contains Python scripts to identify attributes in a dataset and subsequently determine the best QID dimension based on privacy gain and non-uniform entropy.
data-privacy data-utility k-anonymity l-diversity t-closeness python
Language:Python 0
Maha028 / Fortifying_DataPrivacy_with_k-Anonymity_l-Diversity_t-closeness_Models
DataArmor is a cutting-edge tool focused on safeguarding privacy in today's data-driven world using K-anonymity L-diversity and t-closeness privacy model. As the sharing of personal and microdata grows, ensuring the protection of individual identities during data publication and analysis becomes essential.
data-privacy k-anonymity l-diversity privacy-preserving t-closeness correlation-analysis k-anomity privacy privacy-preserving-data-mining windows-form-application privacy-preserving-data-publishing anonymisation anonymization mondrian multidimentional-mondrian correlation-analyses masking perturbation suppression generlization
Language:C# 0
SalomePx / Anonymization_2022
Study of an article in the context of the course "Data anonymization and privacy". About t-closeness, l-diversity and k-anonymity. Implementation of the associated code.
anonymization k-anonymity l-diversity privacy python t-closeness
0
AbdulMajeed09398 / Data-Centric-L-Diversity-Model
Implementation Codes/Functions used in the Data-centric L-diversity model (Synthetic data-aided anonymization model).
anonymization-technique l-diversity synthetic-data data privacy privacy-enhancing-technologies
Language:Python
autrin / k-anonymity_l-diversity
A k-anonymity and l-diversity problem with the Adult data
data generalization jupyter-notebook k-anonymity l-diversity privacy privacy-protection
Language:Jupyter Notebook

l-diversity

Nuclearstar / K-Anonymity

IFCA-Advanced-Computing / anjana

IFCA-Advanced-Computing / pycanon

ThaminduR / spark-privacy-preserver

SGMAP-AGD / anonymisation

glassonion1 / anonypy

strmprivacy / strm-privacy-diagnostics

Dharmik1710 / L-diversity

IFCA-Advanced-Computing / anonymity-ml

KasiR07 / Anonymizing-Medical-Records-using-K-Anonymity-and-L-Diversity

philip-groneberg / prink

spyridon-ninos / msc_db-security_fall_2020

JonasGreim / data-privacy

LoreMenten / Attribute-Identification-And-Utility-Metrics-Pipeline

Maha028 / Fortifying_DataPrivacy_with_k-Anonymity_l-Diversity_t-closeness_Models

SalomePx / Anonymization_2022

AbdulMajeed09398 / Data-Centric-L-Diversity-Model

autrin / k-anonymity_l-diversity