AES algorithm to find privacy-preserved item on cloud storage data
Shafiq Hussain · 2022
Frequent itemset mining, which is the essential operation in association rule mining, is one of the most widelyused data mining techniques on massive datasets nowadays. With the dramatic increase on the scale of datasetscollected and stored with cloud services in recent years, it is promising to carry this computation-intensivemining process in the cloud. Amount of work also transferred the approximate mining computation into theexact computation, where such methods not only improve the accuracy also aim to enhance the efficiency.However, while mining data stored on public clouds, it inevitably introduces privacy concerns on sensitivedatasets.