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Privacy preserving data aggregation techniques for handling false data injection attacks in fog computing
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| dc.contributor.author | Sendhil, R | |
| dc.date.accessioned | 2023-03-27T11:08:13Z | |
| dc.date.available | 2023-03-27T11:08:13Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/3508 | |
| dc.description | xvii, 151p. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Computer Science, Pondicherry Engineering College | en_US |
| dc.subject | Internet of things (IoT) | en_US |
| dc.subject | Verifiable quaternion fully homomorphic encryption (VQFHE) | en_US |
| dc.subject | Data injection | en_US |
| dc.title | Privacy preserving data aggregation techniques for handling false data injection attacks in fog computing | en_US |
| dc.type | Thesis | en_US |
| dc.contributor.guide | Amuthan, A | en_US |
| dc.refno | T7131 | en_US |
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Theses [220]