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Source location privacy is an important issue in sensor network monitoring applications. It is difficult to be addressed by traditional security mechanisms, because an external attacker may perform simple traffic analysis to trace back to the event source. Solutions such as flooding or using dummy messages have the drawback of introducing a large amount of message overhead. In this paper, we avoid...
The demand for efficient data dissemination/access techniques to find relevant data from within a sensor network has led to the development of data-centric sensor (DCS) networks, where the sensor data instead of sensor nodes are named based on attributes such as event type or geographic location. However, saving data inside a network also creates security problems due to the lack of tamper resistance...
For sensor networks deployed to monitor and report real events, event source anonymity is an attractive and critical security property, which unfortunately is also very difficult and expensive to achieve. This is not only because adversaries may attack against sensor source privacy through traffic analysis, but also because sensor networks are very limited in resources. As such, a practical tradeoff...
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