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DC Field | Value | Language |
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dc.contributor.author | Thangam, V. | |
dc.contributor.author | Chandrasekaran, K. | |
dc.date.accessioned | 2020-03-30T10:18:50Z | - |
dc.date.available | 2020-03-30T10:18:50Z | - |
dc.date.issued | 2016 | |
dc.identifier.citation | Communications in Computer and Information Science, 2016, Vol.625, , pp.199-212 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/8490 | - |
dc.description.abstract | Secure Multi-Party Computation (SMPC) is a scheme where a set of trusted users will calculate a certain function on their inputs where the inputs will be always in an encrypted format for security purpose. In many cases, outsourcing of these calculations to an untrusted cloud server is desirable because of huge computational power of cloud server and storage space provided by them to process the data. However, the existing secure computation approaches are based on either a single key setup or old traditional encryption methods. In this paper, we suggested two secure multi-party computation techniques based on the latest elliptic curve cryptosystem. In which, we used two non-colluding cloud servers to co-operatively compute the outsourcing calculation with minimum number of interactions between them. However, it is ensured that the inputs, intermediate and final results all remain secret throughout the calculation. � Springer Nature Singapore Pte Ltd. 2016. | en_US |
dc.title | Elliptic curve based secure outsourced computation in multi-party cloud environment | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
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