Data Security and Privacy for Outsourced Data in the Cloud
Data Security and Privacy for Outsourced Data in the Cloud
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DOI：
10.5441/002/edbt.2017.81
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发表时间：
2018-04
期刊：
影响因子：
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通讯作者：
Cetin Sahin;A. E. Abbadi
中科院分区：
文献类型：
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作者：
Cetin Sahin;A. E. Abbadi
尽管将数据外包到云存储已经变得流行，但对云中数据安全和隐私的日益担忧限制了更广泛的云应用。因此，确保数据安全和隐私对于更好、更广泛地采用云计算至关重要。本教程在外包数据的数据安全性和隐私性方面提供了最新技术的全面分析。我们的目标是涵盖外包数据的常见安全和隐私威胁，以及相关的新颖方案和技术，以及它们在安全性，隐私性，功能性和性能方面的设计选择。我们明确的重点是最近的计划，从数据库和密码学和安全社区，使查询处理加密数据和访问不经意的云存储系统。
Although outsourcing data to cloud storage has become popular, the increasing concerns about data security and privacy in the cloud limits broader cloud adoption. Ensuring data security and privacy, therefore, is crucial for better and broader adoption of the cloud. This tutorial provides a comprehensive analysis of the state-of-the-art in the context of data security and privacy for outsourced data. We aim to cover common security and privacy threats for outsourced data, and relevant novel schemes and techniques with their design choices regarding security, privacy, functionality, and performance. Our explicit focus is on recent schemes from both the database and the cryptography and security communities that enable query processing over encrypted data and access oblivious cloud storage systems.