Semantic Privacy Preserving for Big Data

Privacy Invasion of individuals in the digital era is one of the major threats. The massive growth of data about individuals has increased the probability of privacy theft identi?cation. There are many existing solutions available to overcome Individual identi?cation threat. But none of these guaran

Project Title

Semantic Privacy Preserving for Big Data

Project Area of Specialization

Cyber Security

Project Summary

Privacy Invasion of individuals in the digital era is one of the major threats. The massive growth of data about individuals has increased the probability of privacy theft identi?cation. There are many existing solutions available to overcome Individual identi?cation threat. But none of these guarantee a justi?ed solution in terms of Privacy versus utility. Especially in Medical ?eld special care needs to be taken while doing sensitization or anonymization on the original dataset. On the other hand, any published data with its high utility helps to improve existing research because our basic motivation is that no one can identify individuals from the published dataset and the utility of data remains high. To overcome this problem, we proposed Semantic Hybrid Privacy Framework (Range Random Sampling + DAD). The basic goal of this project is to create such a tool which can be used by public sectors to publish data without hesitation of identity theft and complete privacy so that researchers can use this data for their own benefit. We also present how our hybrid framework tackles with existing Attacks and provide semantic privacy.

Project Objectives

1. Privacy for Big Data
2. Achieve better Security 
3. Provide an Infrastructure that allows more Data to be Shared without any identity theft
4. Allows more researchers to be able to access data due to better security

Project Implementation Method

An application based software tool that increases the security of the data set. The tool will be dealing with huge data sets, that is why the equipment required for that will be necessary in order for its completion

Benefits of the Project

1. Can be used in any public domain for data privacy
2. Can be used to share more information for researchers and students because of the enhanced security
3. Will provide security/safety and legitimacy to published data for public domains and organizations

Technical Details of Final Deliverable

1. A Java or Python based Tool that uses a DAD + Range Random Sampling Algorithm and secures the provided data set 

Final Deliverable of the Project

Software System

Type of Industry

Education , Security

Technologies

Big Data

Sustainable Development Goals

Quality Education, Industry, Innovation and Infrastructure, Responsible Consumption and Production, Peace and Justice Strong Institutions

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com