Swarm Differential Privacy for Purpose Driven
Data-Information-Knowledge-Wisdom Architecture
- URL: http://arxiv.org/abs/2105.04045v1
- Date: Sun, 9 May 2021 23:09:07 GMT
- Title: Swarm Differential Privacy for Purpose Driven
Data-Information-Knowledge-Wisdom Architecture
- Authors: Yingbo Li, Yucong Duan, Zakaria Maama, Haoyang Che, Anamaria-Beatrice
Spulber, Stelios Fuentes
- Abstract summary: We will explore the privacy protection of the broad Data-InformationKnowledge-Wisdom (DIKW) landscape.
As differential privacy proved to be an effective data privacy approach, we will look at it from a DIKW domain perspective.
Swarm Intelligence could effectively optimize and reduce the number of items in DIKW used in differential privacy.
- Score: 2.38142799291692
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Privacy protection has recently attracted the attention of both academics and
industries. Society protects individual data privacy through complex legal
frameworks. This has become a topic of interest with the increasing
applications of data science and artificial intelligence that have created a
higher demand to the ubiquitous application of the data. The privacy protection
of the broad Data-InformationKnowledge-Wisdom (DIKW) landscape, the next
generation of information organization, has not been in the limelight. Next, we
will explore DIKW architecture through the applications of popular swarm
intelligence and differential privacy. As differential privacy proved to be an
effective data privacy approach, we will look at it from a DIKW domain
perspective. Swarm Intelligence could effectively optimize and reduce the
number of items in DIKW used in differential privacy, this way accelerating
both the effectiveness and the efficiency of differential privacy for crossing
multiple modals of conceptual DIKW. The proposed approach is proved through the
application of personalized data that is based on the open-sourse IRIS dataset.
This experiment demonstrates the efficiency of Swarm Intelligence in reducing
computing complexity.
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