Finding reliable source for event detection using evolutionary method

Abstract

Participatory sensing is a phenomenon where participants use mobile phones or social media and feed data to detect an event. Since, data gathering is open to many participants, one of the major challenges of this type of networks is to identify truthfulness of the reported observations. Finding the reliable sources is a challenging task since the node or participant’s reliability is unknown or even the probability of the reported event to be true is also unknown. In our paper, we study this challenge and observe that applying evolutionary method, we can identify reliable source nodes. We call our approach Population Based Reliability Estimation. We validate our claim by experimental results. We also compare our method with another widely used method. From experiments we find that our approach is more efficient.