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This paper presents a new privacy negotiation mechanism for an IoT environment that is both efficient and practical to cope with the IoT special need of seamlessness. This mechanism allows IoT users to express and enforce their personal privacy preferences in a seamless manner while interacting with IoT deployments. A key contribution of the paper...
Contexts in source publication
Context 1
... using microservices, it is possible to implement different privacy filters independently (each as a microservice) and bring up/down the filters as required during runtime. Our solution architecture resembling a pipeline structure implemented on the edge server is shown in Figure 3. ...
Context 2
... learn from this results that privacy filtering can be costly in terms of time overhead and hence must be planned carefully when introduced to any application. Finally, Figure 13, compares the overall timing for all three scenarios. When compared to the baseline scenario of No Privacy, we see that privacy negotiation and its application incurs some overhead, about 10% in Privacy-No Update scenario and 13% in Privacy -Data Update scenario. ...
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