Difference between revisions of "18 November 2022"
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14:00h Welcome at IFI and AF''Security''<br />14:15 Invited talk<br /> | 14:00h Welcome at IFI and AF''Security''<br />14:15 Invited talk<br /> | ||
* TITLE: ''Employee-Centered Design of Technical and Organizational Privacy Measures'' | * TITLE: ''Employee-Centered Design of Technical and Organizational Privacy Measures'' | ||
| − | * SPEAKER: Jan Tolsdorf , Bonn-Rhein-Sieg University of Applied Sciences, Germany | + | * SPEAKER: Jan Tolsdorf, Bonn-Rhein-Sieg University of Applied Sciences, Germany |
| − | | <center>[[File:photo-Jan-Tolsdorf.jpg|150px|link=https:// | + | | <center>[[File:photo-Jan-Tolsdorf.jpg|150px|link=https://www.h-brs.de/en/inf/jan-tolsdorf]]</center> |
| − | | <center> [[File:logo-Bonn-Rhein-Sieg.png|300px|link=https://www. | + | | <center> [[File:logo-Bonn-Rhein-Sieg.png|300px|link=https://www.h-brs.de/de]]</center> |
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| − | * ABSTRACT:<br />The European General Data Protection Regulation (GDPR) requires the implementation of Technical and Organizational Measures (TOMs) to reduce the risk of illegitimate processing of personal data. For these measures to be effective, they must be applied correctly by employees who process personal data under the authority of their organization. However, even data processing employees often have limited knowledge of data protection policies and regulations, which increases the likelihood of misconduct and privacy breaches. To lower the likelihood of unintentional privacy breaches, TOMs must be developed with employees’ | + | * ABSTRACT:<br />The European General Data Protection Regulation (GDPR) requires the implementation of Technical and Organizational Measures (TOMs) to reduce the risk of illegitimate processing of personal data. For these measures to be effective, they must be applied correctly by employees who process personal data under the authority of their organization. However, even data processing employees often have limited knowledge of data protection policies and regulations, which increases the likelihood of misconduct and privacy breaches. To lower the likelihood of unintentional privacy breaches, TOMs must be developed with employees’ needs, capabilities, and usability requirements in mind.<br /><br /> This talk provides insights into a user-centered design study with employees of two public institutions in Germany, with the aim of designing a solution to support data processing employees in handling personal data in a privacy-compliant manner. The presentation covers details on the development process and the evaluations.<br /> |
| − | needs, capabilities, and usability requirements in mind. | ||
| − | |||
| − | This talk provides insights into a user-centered design study with employees of two public institutions in Germany, with the aim of designing a solution to support data processing employees in handling personal data in a privacy-compliant manner. The presentation covers details on the development process and the evaluations.<br /> | ||
'''BIO:''' | '''BIO:''' | ||
Revision as of 13:02, 26 October 2022
AFSecurity Seminar
Privacy Usability
| TIME: Friday 18 November 2022, 14:00h PLACE: Kristen Nygaards Hall (Room 5370), 5th floor, IFI, UiO, Ole Johan Dahls hus, Gaustadalleen 23b, Oslo. See map. Coffee and snaks served.
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- ABSTRACT:
The European General Data Protection Regulation (GDPR) requires the implementation of Technical and Organizational Measures (TOMs) to reduce the risk of illegitimate processing of personal data. For these measures to be effective, they must be applied correctly by employees who process personal data under the authority of their organization. However, even data processing employees often have limited knowledge of data protection policies and regulations, which increases the likelihood of misconduct and privacy breaches. To lower the likelihood of unintentional privacy breaches, TOMs must be developed with employees’ needs, capabilities, and usability requirements in mind.
This talk provides insights into a user-centered design study with employees of two public institutions in Germany, with the aim of designing a solution to support data processing employees in handling personal data in a privacy-compliant manner. The presentation covers details on the development process and the evaluations.
BIO:
Jan Tolsdorf works as a research assistant in the Data and Application Security Group of Prof. Dr.-Ing. Luigi Lo Iacono at Bonn-Rhein-Sieg University of Applied Sciences, Germany. He has recently completed his PhD in Computer Science at the University of Göttingen, Germany. Jan’s research activities are in the area of usable security and privacy. The Talk covers findings from his research focusing on the study of human factors in privacy in the employment context.
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AFSecurity is organised by UiO Digital Security. | 
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