| Title | Hardware Support for Secure Stream Processing in Cloud Environments |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Anderson, Jeff, El-Ghazawi, Tarek |
| Conference Name | Proceedings of the Computing Frontiers Conference |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4487-6 |
| Keywords | homomorphic mac, Metrics, network on chip security, network-on-a-chip, pubcrawl, resilience, Resiliency, Scalability, Secure Processing, stream processing |
| Abstract | Many-core microprocessor architectures are quickly becoming prevalent in data centers, due to their demonstrated processing power and network flexibility. However, this flexibility comes at a cost; co-mingled data from disparate users must be kept secure, which forces processor cycles to be wasted on cryptographic operations. This paper introduces a novel, secure, stream processing architecture which supports efficient homomorphic authentication of data and enforces secrecy of individuals' data. Additionally, this architecture is shown to secure time-series analysis of data from multiple users from both corruption and disclosure. Hardware synthesis shows that security-related circuitry incurs less than 10% overhead, and latency analysis shows an increase of 2 clocks per hop. However, despite the increase in latency, the proposed architecture shows an improvement over stream processing systems that use traditional security methods. |
| URL | http://doi.acm.org/10.1145/3075564.3075592 |
| DOI | 10.1145/3075564.3075592 |
| Citation Key | anderson_hardware_2017 |
Hardware Support for Secure Stream Processing in Cloud Environments