Projects / Programmes
e@ser | Secure use of smart devices among the elderly: Towards education-based
cybercrime prevention
Code |
Science |
Field |
Subfield |
5.07.00 |
Social sciences |
Criminology and social work |
|
Code |
Science |
Field |
5.04 |
Social Sciences |
Sociology |
Smart devices, internet of things, elderly, cybersecurity, cyber security, cybercrime, prevention, education, training, intergenerational cooperation, certification
Data for the last 5 years (citations for the last 10 years) on
April 18, 2024;
A3 for period
2018-2022
Data for ARIS tenders (
04.04.2019 – Programme tender,
archive
)
Database |
Linked records |
Citations |
Pure citations |
Average pure citations |
WoS |
121 |
762 |
644 |
5.32 |
Scopus |
154 |
1,166 |
982 |
6.38 |
Researchers (10)
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
16312 |
PhD Igor Bernik |
Administrative and organisational sciences |
Researcher |
2021 - 2024 |
657 |
2. |
53821 |
Damjan Fujs |
Computer science and informatics |
Researcher |
2021 - 2024 |
47 |
3. |
31407 |
PhD Tomaž Hovelja |
Economics |
Researcher |
2021 - 2024 |
116 |
4. |
52374 |
Anže Mihelič |
Administrative and organisational sciences |
Researcher |
2021 - 2024 |
104 |
5. |
23953 |
PhD Marko Poženel |
Computer science and informatics |
Researcher |
2022 - 2024 |
39 |
6. |
38302 |
PhD Kaja Prislan Mihelič |
Administrative and organisational sciences |
Researcher |
2021 - 2024 |
271 |
7. |
31629 |
PhD Patrik Pucer |
Computer science and informatics |
Researcher |
2021 - 2024 |
86 |
8. |
21393 |
PhD Damjan Vavpotič |
Computer science and informatics |
Researcher |
2021 - 2024 |
216 |
9. |
33190 |
PhD Simon Vrhovec |
Administrative and organisational sciences |
Head |
2021 - 2024 |
198 |
10. |
24930 |
PhD Boštjan Žvanut |
Computer science and informatics |
Researcher |
2021 - 2024 |
273 |
Organisations (3)
Abstract
The population in Slovenia and the European region is steadily aging. New technologies may support the well-being and enrich the everyday lives of the elderly. Smart devices and systems, such as wearable and mobile medical devices, ambient assisted-living technology, etc., are at the cutting edge of emerging technologies. The use of such devices inevitably results in an increased inclusion of the elderly in the cyberspace as smart devices are usually connected to a cloud account, mobile app or both. However, limited proficiency and fears about cybersecurity may hinder the adoption of smart devices by the elderly. Although cybercrime threats related to the use of the internet are well-researched, little is known about cybercrime threats to the elderly related to the use of smart devices, their victimization, help-seeking and cybersecurity behavior with research on these topics being particularly scarce. Information technology training of the elderly (e.g., personal computers and smartphones) and cybersecurity training have been researched in the past with intergenerational cooperation appearing to be especially beneficial. Nevertheless, very limited research focused on education related to use of smart devices other than smartphones and related cybersecurity training. The overall aim of this project is to provide a comprehensive strategy for prevention of cybercrime related to the use of smart devices by the elderly based on cybersecurity training by generating the knowledge necessary to develop smart cybersecurity training that will enable the elderly to learn how to securely use smart devices and be adaptable to the varying needs of individuals. This project has a strong theoretical underpinning and will advance the state of the art in several ways to achieve its aim. The project will first provide an analysis of the cybercrime threat landscape related to use of smart devices by the elderly. Next, the project will offer insights into the behavior of both the elderly by determining cybercrime-related factors associated with their adoption of smart devices, and caregivers by determining factors associated with motivation of caregivers to engage in cybersecurity training of the elderly. Finally, the project will deliver a novel prevention strategy for cybercrime related to the use of smart devices by the elderly that will include cybersecurity training recommendations, and an approach for smart adaptation of cybersecurity training to the characteristics of individuals (e.g., age group, living and health conditions). The project will engage cybercrime experts, elderly people, people working with the elderly, experts on intergenerational cooperation, and academic peers to ensure the practical value and ecological validity of project results.