Date of Award

12-2017

Culminating Project Type

Starred Paper

Degree Name

Information Assurance: M.S.

Department

Information Assurance and Information Systems

College

Herberger School of Business

First Advisor

Susantha Herath

Second Advisor

Dennis Guster

Third Advisor

Balasubramanian Kasi

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Keywords and Subject Headings

Policy prediction, classification, wavelets

Abstract

Human or user increase in the usage of social networking through various platforms by sharing their images increased a need for developing more secure systems which help user to share information among groups or people that he or she authorizes without causing any security issues in future. People can then share their desired images by applying different settings on the image such as who can view the image, who can download the image etc., and least bother about the privacy. To solve the privacy problem of excessive and careless sharing of images and information by users, this paper analyzes and describes a privacy policy development system that helps users to create new privacy settings for the images they share and helps in reducing the security breach or fraud over internet. It also helps the user by providing individual settings to all the images they share individually. Depending on the user history on the sharing site, the system proposes a policy in which the user can approve or make changes to the privacy prediction. Polices are thus improved afterwards in time with all the user inputs. Along with the description, this paper also presents a part of implementation of the system.

Comments/Acknowledgements

This research paper about analyzing and implementing privacy policy prediction system along with analyzing the methods helpful in creating the system.

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