Nowadays, Data Mining is a popular tool for extracting hidden knowledge from huge amount of data. To discover hidden knowledge in the information without revealing sensitive data is one of the significant difficulties in data mining. There are numerous techniques have been proposed to hide private data. Association rule mining is one of the data mining procedures used to mine secret data from large datasets. Privacy Preserving Data Mining (PPDM) plays a major role in Data Mining. Privacy Preserving Data Mining (PPDM) methods are utilized to protect such classified data from un-approved data set. These investigations propose a procedure for secret key generation using Advanced Least Lion Optimization Algorithm (ALLOA). The proposed calculation includes two phases: rule mining and secret key generation. Initially, whale optimisation algorithm mines the association rules for the input database and validates the rules with the newly formulated fitness function. An algorithm, ALLOA is developed by modifying the lion optimisation algorithm (LOA) with the inclusion of least mean square (LMS) which generates a secret key to provide privacy in mining. With the secret key, ALLOA converts the original database into the sanitized database. Then, the algorithm optimally selects a secret key such that the sanitised database hides sensitive information by the utilisation of two factors, namely, privacy factor and utility factor, in its objective function.
Advanced Least Lion Optimisation Algorithm, Association rule mining, Data Mining, Privacy Preserving Data Mining (PPDM), Secret key generation.
G.Sathish Kumar , S.K.Vishal Felix , S.Satheesh Kumar , S.Manoj Kumar "SECRET KEY GENERATION FOR PRIVACY PRESERVION USING ADVANCED LEAST LION OPTIMISATION ALGORITHM" Iconic Research And Engineering Journals Volume 2 Issue 10 2019 Page 230-236
G.Sathish Kumar , S.K.Vishal Felix , S.Satheesh Kumar , S.Manoj Kumar "SECRET KEY GENERATION FOR PRIVACY PRESERVION USING ADVANCED LEAST LION OPTIMISATION ALGORITHM" Iconic Research And Engineering Journals, 2(10)