Abstract
In event processing systems, detected event patterns can reveal
privacy-sensitive information. In this paper, we propose
and discuss how to integrate pattern-level privacy protection in event-based systems. Compared to state-of-the-art approaches, we aim to enforce privacy independent of the particularities of specific operators. We accomplish this by supporting the flexible integration of multiple obfuscation techniques and studying deployment strategies for privacy-enforcing mechanisms. Moreover, we share ideas on how to model the adversary’s knowledge to better select appropriate obfuscation techniques for the discussed deployment strategies. Initial results indicate that flexibly choosing obfuscation techniques and deployment strategies is essential to conceal privacy-sensitive event patterns accurately.
privacy-sensitive information. In this paper, we propose
and discuss how to integrate pattern-level privacy protection in event-based systems. Compared to state-of-the-art approaches, we aim to enforce privacy independent of the particularities of specific operators. We accomplish this by supporting the flexible integration of multiple obfuscation techniques and studying deployment strategies for privacy-enforcing mechanisms. Moreover, we share ideas on how to model the adversary’s knowledge to better select appropriate obfuscation techniques for the discussed deployment strategies. Initial results indicate that flexibly choosing obfuscation techniques and deployment strategies is essential to conceal privacy-sensitive event patterns accurately.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems |
| Subtitle of host publication | DEBS '23 |
| Publisher | ACM Press |
| Pages | 185-186 |
| Number of pages | 2 |
| ISBN (Print) | 979-8-4007-0122-1 |
| DOIs | |
| Publication status | Published - Jun-2023 |
| Event | The 17th ACM International Conference on Distributed and Event-Based Systems (DEBS'23) - University of Neuchatel, Neuchatel, Switzerland Duration: 27-Jun-2023 → 30-Jun-2023 https://2023.debs.org/ |
Conference
| Conference | The 17th ACM International Conference on Distributed and Event-Based Systems (DEBS'23) |
|---|---|
| Country/Territory | Switzerland |
| City | Neuchatel |
| Period | 27/06/2023 → 30/06/2023 |
| Internet address |
Keywords
- Privacy
- Complex Event Processing
- Pattern