research-article

Using clustering methods to identify different profiles based on similarity in online security and privacy attitudes

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Renata MekovecAuthors Info & Claims

ICIEB '21: Proceedings of the 2021 2nd International Conference on Internet and E-Business

Pages 9 - 14

https://doi.org/10.1145/3471988.3471990

Published: 28 September 2021 Publication History

Abstract

This paper examines behavior patterns related to online security and privacy attitudes from individuals across 28 European Union (EU) countries. By using the k-means clustering, the countries were assigned to three different profiles based on similarities in online security and privacy attitudes. The study revealed significant differences in online security and privacy attitudes between individuals from countries assigned to high, low and medium concerned profile. Concerns about online privacy and security of individuals in high concern profile were significantly higher compared to other two profiles, while individuals in low concern profile expressed a significantly lower level of concern about online privacy and security compared to other two profiles. A cross-national EU-based exploration and visual map-ping of attitudes was provided.

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Digital Library

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Cited By

Sageengrana SSelvakumar SSrinivasan S(2023)Performance analysis of study material recommendation system to reduce dropout in online learning using optimal behavior prediction cluster and Online Poll BotJournal of Intelligent & Fuzzy Systems10.3233/JIFS-224279(1-18)Online publication date: 28-Jul-2023
https://doi.org/10.3233/JIFS-224279
Sageengrana SSelvakumar SSrinivasan S(2023)Performance analysis of study material recommendation system to reduce dropout in online learning using optimal behavior prediction cluster and online poll botInteractive Learning Environments10.1080/10494820.2023.223282332:9(5779-5800)Online publication date: 19-Jul-2023
https://doi.org/10.1080/10494820.2023.2232823

Using clustering methods to identify different profiles based on similarity in online security and privacy attitudes
1. Security and privacy
2. Social and professional topics
  1. Computing / technology policy

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ICIEB '21: Proceedings of the 2021 2nd International Conference on Internet and E-Business

June 2021

188 pages

ISBN:9781450390217

DOI:10.1145/3471988

Copyright © 2021 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 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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Publication History

Published: 28 September 2021

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ICIEB'21

ICIEB'21: 2021 2nd International Conference on Internet and E-Business

June 9 - 11, 2021

Barcelona, Spain

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Cited By

Sageengrana SSelvakumar SSrinivasan S(2023)Performance analysis of study material recommendation system to reduce dropout in online learning using optimal behavior prediction cluster and Online Poll BotJournal of Intelligent & Fuzzy Systems10.3233/JIFS-224279(1-18)Online publication date: 28-Jul-2023
https://doi.org/10.3233/JIFS-224279
Sageengrana SSelvakumar SSrinivasan S(2023)Performance analysis of study material recommendation system to reduce dropout in online learning using optimal behavior prediction cluster and online poll botInteractive Learning Environments10.1080/10494820.2023.223282332:9(5779-5800)Online publication date: 19-Jul-2023
https://doi.org/10.1080/10494820.2023.2232823

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