Visual logs become widely available via personal cameras, visual sensors in smart environments, or surveillance systems. Storing such data in public services is a common convenient solution, but it is essential to devise a mechanism to encrypt such data to protect sensitive information while enabling the capability to query visual content even in encrypted format at the services. More precisely, we need smart systems that their security and practicality must be balanced against each other. As far as we know, in spite of their importance in preserving personal privacy, such reliable systems have not gained sufficient attention from researchers. This motivates our proposal to develop a smart secure service for visual logs with a temporal interval query. In our system, visual log data are analyzed to generate high-level contents, including entities, scenes, and activities happening in visual data. Then our system supports data owners to query these high-level contents from their visual logs at the server-side in a temporal interval while the data are still encrypted. Our searchable symmetric encryption scheme TIQSSE utilizes interval tree structure and we prove that our scheme achieves efficient search and update time while also maintaining all important security properties such as forward privacy, backward privacy, and it does not leak information outside the desired temporal range.

中文翻译：

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使用基于间隔树的可搜索对称加密的具有时间间隔查询的隐私保护视觉日志服务

通过个人相机、智能环境中的视觉传感器或监控系统，可视日志变得广泛可用。将此类数据存储在公共服务中是一种常见的便捷解决方案，但必须设计一种机制来加密此类数据以保护敏感信息，同时能够在服务中以加密格式查询可视内容。更准确地说，我们需要智能系统，它们的安全性和实用性必须相互平衡。据我们所知，尽管它们在保护个人隐私方面很重要，但这种可靠的系统并没有得到研究人员的足够重视。这促使我们提议为具有时间间隔查询的视觉日志开发智能安全服务。在我们的系统中，可视化日志数据被分析以生成高级内容，包括实体、视觉数据中发生的场景和活动。然后我们的系统支持数据所有者在数据仍然加密的时间间隔内从他们在服务器端的可视化日志中查询这些高级内容。我们的可搜索对称加密方案 TIQSSE 利用间隔树结构，我们证明我们的方案实现了高效的搜索和更新时间，同时还保持了所有重要的安全属性，如前向隐私、后向隐私，并且不会泄漏所需时间范围之外的信息。