A multi-illusive voids approach for increasing base station anonymity

In wireless sensor networks (WSNs), the base station plays a major role in processing and transmitting collected data to the command centers. Given its critical role, it is considered as the most important part in the network and hence becomes a target of an adversary attack. Although many solutions have been proposed to prevent the base station (BS) from exposing itself, the traffic pattern in the network degrades the BS location anonymity and makes it vulnerable. In this paper, we propose a Multi-Illusive Voids approach for increasing the Base Station Anonymity (MIVA). MIVA exploits the features of geographic routing to both confuse the adversary about the routing topology and to have some control over the adversary's Belief. Specifically, MIVA forms a fake void around the BS in order to avert the adversary's attention away from the BS vicinity and the multiple other fake voids throughout the network to confuse the adversary about a potential location for the BS. MIVA is validated through simulation and is shown to outperform prominent competing anti-traffic analysis techniques.

Automated summary

This paper introduces a Multi-Illusive Voids approach (MIVA) for increasing Base Station Anonymity, which confuses adversaries and controls their beliefs by exploiting the features of geographic routing. MIVA is shown to outperform other anti-traffic analysis techniques through simulation.