Abstract
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.
Highlights
In daily activities, people usually take photos and record video clips to capture moments and events in their lives
– We propose a solution for a public visual data storage service to assist data owners to search their photos and video clips with keywords, i.e. concepts extracted from visual content, and preserve data privacy in query and data manipulation
We propose a smart secure framework for visual data storage service and smart edge camera in Section 3. in Section 4, We review the necessary preliminaries of cryptography, define the novel Temporal Interval Query SSE (TIQSSE) problem
Summary
People usually take photos and record video clips to capture moments and events in their lives. Visual lifelogs become increasingly available and are usually uploaded to store in online storage services. We target two challenging problems to better develop an online storage service for private visual data: (i) to search photos or video clips based on their content, and (ii) to protect private data leakage at server-side accidentally or intentionally. We aim to bridge the gap between visual data and their semantics by allowing data owners to search with keywords. Each photo or frame in a video clip is processed to extract high-level concepts, including entities, scene attributes, activities, etc. A photo or video frame can be considered as a document or a set of concepts, which are ready to be retrieved by keywords. We demonstrate a prototype smart edge camera which can be re-configured remotely to generate visual data with associated extracted concepts
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