Random anonymization via multi-objective immune cloning evolution
Zhaoxuan Gong · Jisuanji yingyong yanjiu · 2010
The random anonymization method had been proposed in recent years.It anonymized data by randomly breaking links among attribute values in records,and maintained statistical relations among data to preserve knowledge.Whereas in most anonymization methods,knowledge was lost,so the anonymized data usually had a lower utility.However,due to the conflicting nature of privacy and utility,the random anonymization method has difficulty.To obtain better results,this paper proposed a multi-objective immune cloning evolution of data anonymization to search results that both privacy and utility were higher.Simulation results show that the proposed method can find better results.