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Analyzing Awareness on Data Privacy

Published: 18 April 2019 Publication History

Abstract

The transition away from the old way of handling and storing information on the internet has completely shifted the entire world. Unfortunately, the new method of internet storage has created a lot of issues that concern individuals on a daily basis. We often underestimate how our data is being stored and shared on the internet. Within the last decades, there have been data breaches that have brought light to the issues of data privacy. In order to ensure data privacy, individuals need to be aware of the situation. In this paper, I have proposed a method that analyzes the awareness on data privacy. To address the issues of data privacy, individuals will be asked to complete a questionnaire. The questionnaire will measure individuals' competence level regarding data privacy.

References

[1]
A. Chaudhry, J. Crowcroft, H. Howard, A. Madhavapeddy, R. Mortier, H. Haddadi, and D. Mcauley, "Personal Data: Thinking Inside the Box," Aarhus Series on Human-Centered Computing, vol. 1, no. 1, p. 4, May 2015
[2]
B. Thuraisingham, "Big Data Security and Privacy," Proceedings of the 5th ACM Conference on Data and Application Security and Privacy - CODASPY 15, 2015.
[3]
A. Hug, "'I've Got Nothing to Hide!"," Proceedings of the 13th Workshop in Primary and Secondary Computing Education on - WiPSCE 18, 2018.Tavel, P. 2007. Modeling and Simulation Design. AK Peters Ltd., Natick, MA.

Cited By

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  • (2024)A quest for research and knowledge gaps in cybersecurity awareness for small and medium-sized enterprisesComputer Science Review10.1016/j.cosrev.2023.10059250:COnline publication date: 4-Mar-2024
  • (2024)Exploring Users’ Perspectives of Mobile Health Privacy and AutonomyPervasive Computing Technologies for Healthcare10.1007/978-3-031-59717-6_5(70-91)Online publication date: 4-Jun-2024
  • (2020)Integrating Machine Learning with Blockchain to Ensure Data Privacy2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT49239.2020.9225342(1-6)Online publication date: Jul-2020
  • Show More Cited By

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Published In

cover image ACM Conferences
ACMSE '19: Proceedings of the 2019 ACM Southeast Conference
April 2019
295 pages
ISBN:9781450362511
DOI:10.1145/3299815
  • Conference Chair:
  • Dan Lo,
  • Program Chair:
  • Donghyun Kim,
  • Publications Chair:
  • Eric Gamess
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 ACM 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2019

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Author Tags

  1. Data Privacy
  2. Data Privacy Competence
  3. Personal Data
  4. Privacy

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  • Short-paper
  • Research
  • Refereed limited

Conference

ACM SE '19
Sponsor:
ACM SE '19: 2019 ACM Southeast Conference
April 18 - 20, 2019
GA, Kennesaw, USA

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Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Cited By

View all
  • (2024)A quest for research and knowledge gaps in cybersecurity awareness for small and medium-sized enterprisesComputer Science Review10.1016/j.cosrev.2023.10059250:COnline publication date: 4-Mar-2024
  • (2024)Exploring Users’ Perspectives of Mobile Health Privacy and AutonomyPervasive Computing Technologies for Healthcare10.1007/978-3-031-59717-6_5(70-91)Online publication date: 4-Jun-2024
  • (2020)Integrating Machine Learning with Blockchain to Ensure Data Privacy2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT49239.2020.9225342(1-6)Online publication date: Jul-2020
  • (2020)Ensuring Data Privacy Using Machine Learning for Responsible Data ScienceIntelligent Data Engineering and Analytics10.1007/978-981-15-5679-1_49(507-514)Online publication date: 30-Aug-2020

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