Mr. Hauke Vagts Profile

Hauke Vagts

at Fraunhofer IOSB

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Proceedings Article | 8 May 2012 Paper

Privacy-aware access control for video data in intelligent surveillance systems

Hauke Vagts, Andreas Jakoby

Proceedings Volume 8406, 84060I (2012) https://doi.org/10.1117/12.920623

KEYWORDS: Sensors, Surveillance, Surveillance systems, Data storage, Control systems, Video surveillance, Computer security, Video, Intelligence systems, Data processing

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Surveillance systems became powerful. Objects can be identified and intelligent surveillance services can generate events when a specific situation occurs. Such surveillance services can be organized in a Service Oriented Architecture (SOA) to fulfill surveillance tasks for specific purposes. Therefore the services process information on a high level, e.g., just the position of an object. Video data is still required to visualize a situation to an operator and is required as evidence in court. Processing of personal related and sensitive information threatens privacy. To protect the user and to be compliant with legal requirements it must be ensured that sensitive information can only be processed for a defined propose by specific users or services. This work proposes an architecture for Access Control that enforces the separation of data between different surveillance tasks. Access controls are enforced at different levels: for the users starting the tasks, for the services within the tasks processing data stored in central store or calculated by other services and for sensor related services that extract information out of the raw data and provide them.

Proceedings Article | 27 May 2011 Paper

Establishing trust in decentralized smart sensor networks

H. Vagts, T. Cosar, J. Beyerer

Proceedings Volume 8063, 806306 (2011) https://doi.org/10.1117/12.884119

KEYWORDS: Sensors, Smart sensors, Sensor networks, Data storage, Data modeling, Systems modeling, Data processing, Cameras, Surveillance systems, Astatine

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Smart sensors can gather all kind of information and process it. Cameras are still dominating and smart cameras can offer services for face recognition or person tracking. Operators are building collaborations to cover a larger area, to save costs and to add more and different sensors. Cryptographic methods may achieve integrity and confidentiality between operators, but not trust. Even if a partner or one of his sensors is authenticated, no statements can be made about the quality of the sensor data. Hence, trust must be established between the partners and their sensors. Trust can be built based on past experience. A reputation system collects opinions of operators about the behavior of sensors and calculates trust based on these opinions. Many reputation systems have been proposed, e.g., for authentication of files in peer-topeer networks. This work presents a new reputation system, which is designed to calculate the trustworthiness of smart sensors and smart sensor systems. A new trust model, including functions to calculate and update trust on past experiences, is proposed. When fusing information of multiple sensors, it cannot always be reconstructed, which information led to a bad result. Hence, an approach for fair rating is shown. The proposed system has been realized in a Service-Oriented Architecture for easy integration in existing smart sensor systems, e.g., smart surveillance systems. The model itself can be used in every decentralized heterogeneous smart sensor network.

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