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A Privacy Protection System in Context-aware Environment The Privacy Controller Module

Authors:

Tahani Hussain,

Ranya AlawadhiAuthors Info & Claims

iiWAS '20: Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services

Pages 39 - 46

https://doi.org/10.1145/3428757.3429090

Published: 27 January 2021 Publication History

Abstract

As context-aware applications are becoming increasingly popular, there are also mounting demands for privacy protection systems. In our work, we propose a context-aware privacy protection system that consists of three modules and aims to recognize the user privacy behavior, classify the context-aware applications and recommend a set of protection action scenarios for the user privacy profile settings. Each module is a challenging problem that needs to be addressed using supervised and unsupervised Machine Learning (ML) algorithms. Part 1 of our work, this paper, consists of deploying hybrid techniques to handle the privacy controller module tasks. Logistic Regression (LR) learning algorithm is integrated with Statistical Method (SM) to recognize user privacy complex activities. The potential of the proposed system is demonstrated using a large-scale real-world dataset provided by institutes from Kuwait, the United States and Belgium. The system demonstration shows promising results with an accuracy of 97.9%.

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Cited By

Alawadhi RHussain T(2021)The Efficiency of Learning Methodology for Privacy Protection in Context-aware Environment during the COVID-19 PandemicProcedia Computer Science10.1016/j.procs.2021.03.017184(52-59)Online publication date: 2021
https://doi.org/10.1016/j.procs.2021.03.017

Index Terms

A Privacy Protection System in Context-aware Environment The Privacy Controller Module
1. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Privacy protections
  2. Software and application security
    1. Social network security and privacy

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iiWAS '20: Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services

November 2020

492 pages

ISBN:9781450389228

DOI:10.1145/3428757

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Johannes Kepler University, Linz, Austria

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 January 2021

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iiWAS '20

iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services

November 30 - December 2, 2020

Chiang Mai, Thailand

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Cited By

Alawadhi RHussain T(2021)The Efficiency of Learning Methodology for Privacy Protection in Context-aware Environment during the COVID-19 PandemicProcedia Computer Science10.1016/j.procs.2021.03.017184(52-59)Online publication date: 2021
https://doi.org/10.1016/j.procs.2021.03.017

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