Achieving efficient and privacy-preserving multi-feature search for mobile sensing
• We propose a secure multi-feature search scheme with low cost on the mobile terminals. • We propose an extended scheme to personalize query based on historical search information. • We prove the security of the proposed scheme on privacy protection of index and trapdoor and unlinkability of trapdo...
Ausführliche Beschreibung
Autor*in: |
Li, Hongwei [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Schlagwörter: |
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Umfang: |
8 |
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Übergeordnetes Werk: |
Enthalten in: Efficient estimation of the error distribution function in heteroskedastic nonparametric regression with missing data - Chown, Justin ELSEVIER, 2016, the international journal for the computer and telecommunications industry, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:65 ; year:2015 ; day:1 ; month:07 ; pages:35-42 ; extent:8 |
Links: |
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DOI / URN: |
10.1016/j.comcom.2015.02.006 |
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ELV03957864X |
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• We propose a secure multi-feature search scheme with low cost on the mobile terminals. • We propose an extended scheme to personalize query based on historical search information. • We prove the security of the proposed scheme on privacy protection of index and trapdoor and unlinkability of trapdoor. |
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• We propose a secure multi-feature search scheme with low cost on the mobile terminals. • We propose an extended scheme to personalize query based on historical search information. • We prove the security of the proposed scheme on privacy protection of index and trapdoor and unlinkability of trapdoor. |
abstract_unstemmed |
• We propose a secure multi-feature search scheme with low cost on the mobile terminals. • We propose an extended scheme to personalize query based on historical search information. • We prove the security of the proposed scheme on privacy protection of index and trapdoor and unlinkability of trapdoor. |
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