An efficient big data anonymization algorithm based on chaos and perturbation techniques

Keyphrases

• Big Data 100%
• Perturbation Method 100%
• Anonymization Algorithm 100%
• Data Anonymization 100%
• Chaos Techniques 100%
• Kullback-Leibler Divergence 50%
• Classification Accuracy 50%
• F-measure 50%
• Execution Time 25%
• Process Data 25%
• Existing Algorithms 25%
• Data Privacy 25%
• Anonymity 25%
• Accuracy Measure 25%
• Data Sharing 25%
• Privacy-preserving 25%
• Link Flooding Attack 25%
• Protection Model 25%
• Disclosure Attacks 25%
• Identity Disclosure 25%
• Privacy Preserving Data Mining 25%
• Identity Linkage 25%
• Data Publishing 25%

Computer Science

• Big Data 100%
• Anonymization 100%
• Leibler Divergence 50%
• Classification Accuracy 50%
• Execution Time 25%
• Processing Data 25%
• Privacy Preserving 25%
• Data Privacy 25%
• Anonymity 25%
• Sensitive Informations 25%
• Experimental Result 25%
• Linking Attack 25%
• privacy preserving data mining 25%