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Two goals of network science are to (i) uncover fundamental properties of phenomena modeled as networks, and to (ii) explore novel use of networks as models for a diverse range of systems and phenomena in order to improve our understanding of such systems and phenomena. This paper advances the latter direction by casting credibility estimation in social sensing applications as a network science problem,...
This paper estimates new confidence bounds on source reliability in social sensing applications. Scalable and robust estimation of source reliability is a key challenge in social sensing where humans or human-operated sensors act as data sources. In order to assess correctness of data, the reliability of sources must first be assessed, yet this is complicated when sources are not a priori known and...
In this paper, we propose countermeasures to mitigate damage caused by spoofing attacks in Delay-Tolerant Networks (DTNs). In our model, an attacker spoofs someone else's address (the victim's) to absorb packets from the network intended for that victim. Address spoofing is arguably a very severe attack in DTNs, compared to other known attacks, such as dropping packets. Without a Public Key Infrastructure...
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