Abstract | ||
---|---|---|
Nowadays, offloading storage and processing capacity to cloud servers is a growing trend. This happens because high storage capacity and powerful processors are expensive, whilst cloud services provide a cheaper, ongoing, and reliable solution. The problem with cloud-based solutions is that servers are highly accessible through the Internet and therefore considerably exposed to hackers and malware. In this paper, we design and implement Darkroom, a secure image processing service for the cloud leveraging ARM TrustZone technology. Our system enables users to securely process image data in a secure environment that prevents exposure of sensitive data to the operating system. We evaluate our system and observe that our solution adds a small overhead to image processing when compared to computer platforms that require the entire operating system to be trusted. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/SRDSW.2016.17 | 2016 IEEE 35th Symposium on Reliable Distributed Systems Workshops (SRDSW) |
Keywords | Field | DocType |
ARM TrustZone,secure image processing,cloud,security,small trusted computing base | Computer science,Server,Image processing,Hacker,Real-time computing,Public-key cryptography,Distributed computing,The Internet,Malware,Operating system,Embedded system,Cloud computing,Darkroom | Conference |
ISBN | Citations | PageRank |
978-1-5090-5260-8 | 1 | 0.37 |
References | Authors | |
11 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tiago Brito | 1 | 1 | 0.37 |
Nuno O. Duarte | 2 | 8 | 2.54 |
Nuno Santos | 3 | 189 | 24.08 |