The Power of Anonymization and Sensitive Knowledge Hiding Using Sanitization Approach
The Power of Anonymization and Sensitive Knowledge Hiding Using Sanitization Approach is a scholarly work, published in 2018 in ''International Journal of Modern Education and Computer Science''. The main subjects of the publication include sensitive information, transaction data, traffic classification, data mining, anonymity, association rule learning, information hiding, differential privacy, database transaction, set, and computer science. In recent day's huge rapid growth of corporate industries professional are based on the online marketing.These markets are associated with millions of online transactions which contain the details of the items, number of items, price and additional information like working details, salary information and personal information.The customers associated with these transactions are concerned about privacy issues.This manuscript aims to concentrates more on the additional information about the customer apart from dealing with the items.More analysis helps in knowing the sensitive information about an individual.In this article two algorithms were used, out of which first algorithm has been used to hide the sensitive information about an individual and other proposed algorithm has been used to hide the sensitive transaction information.These algorithms are proposed based on k-Anonymity and association rule hiding techniques.A novel algorithm has been proposed for association rule hiding algorithm to reduce the side effects such as Sensitive item-set hiding failure, Non-sensitive misses, extra item-set generations and Database dissimilarities along with the reduction of running time and complexities through transaction deletion.