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| Content Provider | ACM Digital Library |
|---|---|
| Author | Anderson, Jeff El-Ghazawi, Tarek |
| 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. |
| Starting Page | 283 |
| Ending Page | 286 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450344876 |
| DOI | 10.1145/3075564.3075592 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-05-15 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Network-on-a-chip Homomorphic mac Stream processing Secure processing |
| Content Type | Text |
| Resource Type | Article |
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