Swarm Optimization Algorithm for Privacy Preserving in Data Mining
Free competition in business can be compromised as data mining techniques reveal critical information about business transactions. Hence, there is a need to ensure prevention of disclosures both of confidential personal information which is contextually sensitive. Literature is abounding with state-of-the-art methods for privacy-preserving evolutionary algorithms (EAs) that give solutions to real-world optimization problems. Existing EA solutions are specific to cost function evaluation in privacy-preserving domains. This work proposes implementation of Particle Swarm Optimization (PSO) to locate an optimal generalized feature set. The proposed framework accomplishes k-anonymity by generalization of original dataset.
Keywords: Privacy-Preserving Data Mining (PPDM), Swarm Intelligence, Particle Swarm Optimization (PSO), K-anonymity.
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ABOUT THE AUTHORS
Sridhar Mandapati
Sridhar Mandapati obtained his masters degree in Computer Applications from S.V University, Tirupathi. He is currently working as Associate Professor in the Department of Computer Applications at R.V.R & J.C College of Engineering, Guntur. He has 14 years of teaching experience. At present he is pursuing Ph.D. from Acharya Nagarjuna University, Guntur. His are of research interest include Data Mining, Information Security and Image Processing.
Raveendra Babu Bhogapathi
Dr.B.Raveendra Babu obtained his Masters in Computer Science and Engineering from Anna University, Chennai. He received his Ph.D. in Applied Mathematics at S.V University, Tirupati. He is now working as Professor in the Department of Computer Science and Engineering, VNR VJIET, Hyderabad. He has 27 years of teaching experience. He has more than 55 International and National publications to his credit. His area of research interest includes Data Mining, Image Processing, Pattern Analysis and Information Security.
M.V.P.Chandra Sekhara Rao
Dr.M.V.P.Chandra Sekhara Rao obtained his Masters in Computer Science and Engineering from JNTU, Kakinada. He received his Ph.D. in Computer Science and Engineering from JNTU, Hyderabad. At present working as Professor in the Department of Computer Science and Engineering at R.V.R & J.C College of Engineering, Guntur. He has 16 years of teaching experience. He has six international publications and attended several international conferences. His area of research interest is Data Warehouse and Data Mining.
Sridhar Mandapati
Sridhar Mandapati obtained his masters degree in Computer Applications from S.V University, Tirupathi. He is currently working as Associate Professor in the Department of Computer Applications at R.V.R & J.C College of Engineering, Guntur. He has 14 years of teaching experience. At present he is pursuing Ph.D. from Acharya Nagarjuna University, Guntur. His are of research interest include Data Mining, Information Security and Image Processing.
Raveendra Babu Bhogapathi
Dr.B.Raveendra Babu obtained his Masters in Computer Science and Engineering from Anna University, Chennai. He received his Ph.D. in Applied Mathematics at S.V University, Tirupati. He is now working as Professor in the Department of Computer Science and Engineering, VNR VJIET, Hyderabad. He has 27 years of teaching experience. He has more than 55 International and National publications to his credit. His area of research interest includes Data Mining, Image Processing, Pattern Analysis and Information Security.
M.V.P.Chandra Sekhara Rao
Dr.M.V.P.Chandra Sekhara Rao obtained his Masters in Computer Science and Engineering from JNTU, Kakinada. He received his Ph.D. in Computer Science and Engineering from JNTU, Hyderabad. At present working as Professor in the Department of Computer Science and Engineering at R.V.R & J.C College of Engineering, Guntur. He has 16 years of teaching experience. He has six international publications and attended several international conferences. His area of research interest is Data Warehouse and Data Mining.
