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Vehicular Networks (VNs) seek to provide, among other applications, safer driving conditions. To do so, vehicles need to periodically broadcast safety messages providing precise position information to nearby vehicles. However, this frequent messaging (e.g ...
With a number of projects developing vehicular communication systems, there is rising awareness on threats and the need to introduce security and privacy-enhancing mechanisms. With recent results, in principle in agreement across different major projects, ...
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We investigate four different privacy-sensitive features, namely energy, zero crossing rate, spectral flatness, and kurtosis, for speech detection in multiparty conversations. We liken this scenario to a meeting room and define our datasets and annotations ...
In this paper we present a novel approach to location obfuscation for location privacy purposes. The motivating observation is that obfuscation strategies only grounded on geometric criteria can lead to privacy leaks. We thus propose to complement geometry ...
