Paper Title :Application of PSO Optimization Technique on Medical Data to Uphold Data Privacy
Author :Asha Kiran Grandhi, Manimala Puri, S. Srinivasa Suresh
Article Citation :Asha Kiran Grandhi ,Manimala Puri ,S. Srinivasa Suresh ,
(2017 ) " Application of PSO Optimization Technique on Medical Data to Uphold Data Privacy " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 9-14,
Volume-5,Issue-10
Abstract : Data privacy is an emerging research topic, as security issues are on high rise everywhere. Even though, security
guidelines, policies, laws and acts are in force, data hackers are on their way to steal the data. Data hackers are not only
competent in thefting the data but also experts in analysis. At the same time, there is advancement in technology, to counter
data hacking. Generally, medical data contain sensitive information. Hackers use this underlying sensitive information and
do fraudulent activities. To protect the confidentiality of the data, the researchers have undertaken design and development
of an algorithm with the optimization technique to improve the accuracy of privacy on medical data. As per the researchers
view, data privacy can be protected through cryptography, and data access controls. Optimization techniques are
outweighing the data privacy implementations. The current paper describes self-defined algorithm on medical data (heart
data sets), to improve the privacy accuracy on three openly available data sets, applying PSO optimization technique. The
current experiment includes standard privacy techniques: clustering, encryption and distribution. In this work, accuracy is
measured on varying number of clusters ranging from 2 to 10, on each of the data sets. The paper describes methodology,
PSO optimization, and implementation and result evaluation.
Index Terms— Data privacy, Privacy Preserving Data Mining (PPDM), PSO
Type : Research paper
Published : Volume-5,Issue-10
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-9554
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Copyright: © Institute of Research and Journals
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Published on 2017-12-28 |
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