Beckerle, Matthias and Martucci, Leonardo and Ries, Sebastian
:
Interactive Access Rule Learning: Generating Adapted Access Rule Sets.
ADAPTIVE 2010 : The Second International Conference on Adaptive and Self-Adaptive Systems and Applications
[Conference or Workshop Item]
, (2010)
Abstract
This paper tackles the problem of usability and security in access control mechanisms. A theoretical solution for this problem is presented using the combination of automatic rule learning and user interaction. The result is the interactive rule learning approach. Interactive rule learning is designed to complete attribute-based access control to generate concise rule sets even by non-expert end-users. The resulting approach leads to adaptive access control rule sets that can be used for smart products.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2010 |
| Creators: | Beckerle, Matthias and Martucci, Leonardo and Ries, Sebastian |
| Title: | Interactive Access Rule Learning: Generating Adapted Access Rule Sets |
| Language: | German |
| Abstract: | This paper tackles the problem of usability and security in access control mechanisms. A theoretical solution for this problem is presented using the combination of automatic rule learning and user interaction. The result is the interactive rule learning approach. Interactive rule learning is designed to complete attribute-based access control to generate concise rule sets even by non-expert end-users. The resulting approach leads to adaptive access control rule sets that can be used for smart products. |
| Title of Book: | ADAPTIVE 2010 : The Second International Conference on Adaptive and Self-Adaptive Systems and Applications |
| Uncontrolled Keywords: | - ALW - Area Ambient Learning & Knowledge Work;adaptivity; usability; access control; rule learning |
| Divisions: | Department of Computer Science Department of Computer Science > Telecooperation |
| Date Deposited: | 31 Dec 2016 12:59 |
| Identification Number: | TUD-CS-2010-23870 |
| Related URLs: | |
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