Big data privacy preservation for cyber-physical systems
Miao Pan, Jingyi Wang, Sai Mounika Errapotu, Xinyue Zhang, Jiahao Ding, Zhu Han
(Springer Nature, 2019)
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| This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptographic techniques and differential privacy in this brief. This brief also focuses on effectively integrating the data analysis and data privacy preservation techniques to provide the most desirable solutions for the state-of-the-art CPS with various application-specific requirements. |
 Big Data Privacy Preservation for Cyber-Physical Systems.pdf :: Unduh
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| No. Panggil : | e20507021 |
| Entri tambahan-Nama orang : | |
| Subjek : | |
| Penerbitan : | Switzerland: Springer Nature, 2019 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | ix, 73 pages : illustration |
| Tautan: | https://doi.org/10.1007/978-3-030-13370-2 |
| Lembaga Pemilik: | |
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| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| e20507021 | 02-20-991480907 | TERSEDIA |
| Ulasan: |
| Tidak ada ulasan pada koleksi ini: 20507021 |
