Projects per year
Abstract
With biometric identification systems becoming increasingly ubiquitous, their complexity is escalating due to the integration of diverse sensors and modalities, aimed at minimizing error rates. The current paradigm for these systems involves hard-coded aggregation instructions, presenting challenges in system maintenance, scalability, and adaptability. These challenges become particularly prominent when deploying new sensors or adjusting security levels to respond to evolving threat models.
To address these concerns, this research introduces BioDSSL, a Domain Specific Sensor Language to simplify the integration and dynamic adjustment of security levels in biometric identification systems. Designed to address the increasing complexity due to diverse sensors and modalities, BioDSSL promotes system maintainability and resilience while ensuring a balance between usability and security for specific scenarios.
Furthermore, it facilitates decentralization of biometric identification systems, by improving interoperability and abstraction. Decentralization inherently disperses the concentration of sensitive biometric data across various nodes, which could indirectly enhance privacy protection and limit the potential damage from localized security breaches. Therefore, BioDSSL is not just a technical improvement, but a step towards decentralized, resilient, and more secure biometric identification systems. This approach holds the promise of indirectly improving privacy while enhancing the reliability and adaptability of these systems amidst evolving threat landscapes and technological advancements.
To address these concerns, this research introduces BioDSSL, a Domain Specific Sensor Language to simplify the integration and dynamic adjustment of security levels in biometric identification systems. Designed to address the increasing complexity due to diverse sensors and modalities, BioDSSL promotes system maintainability and resilience while ensuring a balance between usability and security for specific scenarios.
Furthermore, it facilitates decentralization of biometric identification systems, by improving interoperability and abstraction. Decentralization inherently disperses the concentration of sensitive biometric data across various nodes, which could indirectly enhance privacy protection and limit the potential damage from localized security breaches. Therefore, BioDSSL is not just a technical improvement, but a step towards decentralized, resilient, and more secure biometric identification systems. This approach holds the promise of indirectly improving privacy while enhancing the reliability and adaptability of these systems amidst evolving threat landscapes and technological advancements.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE 12th International Conference on Intelligent Systems (IS) |
| Editors | Vassil Sgurev, Vladimir Jotsov, Vincenzo Piuri, Luybka Doukovska, Radoslav Yoshinov |
| Place of Publication | Varna, Bulgaria |
| Publisher | IEEE |
| Pages | 1-7 |
| Number of pages | 7 |
| ISBN (Electronic) | 9798350350982 |
| DOIs | |
| Publication status | Published - Aug 2024 |
| Event | 12th International Conference on Intelligent Systems - Varna, Bulgaria Duration: 29 Aug 2024 → 31 Aug 2024 Conference number: 61756 https://www.ieee-is.org/ |
Conference
| Conference | 12th International Conference on Intelligent Systems |
|---|---|
| Abbreviated title | IS '24 |
| Country/Territory | Bulgaria |
| City | Varna |
| Period | 29.08.2024 → 31.08.2024 |
| Internet address |
Fields of science
- 102 Computer Sciences
- 102016 IT security
- 102025 Distributed systems
JKU Focus areas
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management
Projects
- 1 Active
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Christian Doppler Laboratory for Private Digital Authentication in the Physical World - Digidow
Mayrhofer, R. (PI)
01.01.2020 → 31.12.2026
Project: Funded research › CDG - Christian Doppler Forschungsgesellschaft
Prizes
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Best Paper Award
Hofer, P. (Recipient), Roland, M. (Recipient) & Mayrhofer, R. (Recipient), Aug 2024
Prize: Prize, award or honor