Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/246922
Title: An Efficient Approach for Privacy Preserving Data Mining Using Clustering Methods and Secure Multi Party Computation Techniques
Researcher: AnnanNaidu, P
Guide(s): M. VamsiKrishana
Keywords: Engineering and Technology,Computer Science,Computer Science Interdisciplinary Applications
University: Centurion University of Technology and Management
Completed Date: 22-4-2019
Abstract: We are live in a world where vast amounts of data are collected daily. Analyzing such data is an important need. Data mining is a current technology for extracting knowledge from a large amount of data. Data mining plays a major role in real world business applications by providing different techniques and algorithms. Privacy preserving is an important research area, which allows parties to cooperate in the knowledge extraction without revealing the extracted knowledge with any individual parties. When the information shared among different nodes such that centralized or distributed , then data mining results should ensure the secret sharing of information, This thesis presents secure multi-party computations for privacy preserving data mining and also states that different approaches to achieve secure multiparty computations, in this process SMC deals with secret sharing of data among different nodes or parties. newlineThis Research addresses the privacy preserving issues in relational data and social media data against attacks through K-anonymity and l-diversity. k- Anonymity provides privacy protection by guaranteeing that each released record will relate to at least k individuals even if the records are directly linked to external information. l-diversity provides privacy even when the data publisher does not know what kind of knowledge is possessed by the adversary. The main idea behind l-diversity is the requirement that the values of the sensitive attributes are well-represented in each group. This Research also addresses the privacy preserving issues using PPDM techniques. newlineAn extensive literature survey is carried out to understand and analyze the existing approaches in terms of their objective, methodology, data used and outcomes. This survey gives in-depth view and the gaps found from this survey set the directions for the present study. This research work is logically divided into different sections to achieve the framed objectives efficiently. newlineThe motive of First Section is to introduce the topic, objective
Pagination: A4
URI: http://hdl.handle.net/10603/246922
Appears in Departments:Computer Sc. and Enggineering

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