4 research outputs found
An Information Theoretic Location Verification System for Wireless Networks
As location-based applications become ubiquitous in emerging wireless
networks, Location Verification Systems (LVS) are of growing importance. In
this paper we propose, for the first time, a rigorous information-theoretic
framework for an LVS. The theoretical framework we develop illustrates how the
threshold used in the detection of a spoofed location can be optimized in terms
of the mutual information between the input and output data of the LVS. In
order to verify the legitimacy of our analytical framework we have carried out
detailed numerical simulations. Our simulations mimic the practical scenario
where a system deployed using our framework must make a binary Yes/No
"malicious decision" to each snapshot of the signal strength values obtained by
base stations. The comparison between simulation and analysis shows excellent
agreement. Our optimized LVS framework provides a defence against location
spoofing attacks in emerging wireless networks such as those envisioned for
Intelligent Transport Systems, where verification of location information is of
paramount importance
Location Verification Systems Under Spatially Correlated Shadowing
The verification of the location information utilized in wireless
communication networks is a subject of growing importance. In this work we
formally analyze, for the first time, the performance of a wireless Location
Verification System (LVS) under the realistic setting of spatially correlated
shadowing. Our analysis illustrates that anticipated levels of correlated
shadowing can lead to a dramatic performance improvement of a Received Signal
Strength (RSS)-based LVS. We also analyze the performance of an LVS that
utilizes Differential Received Signal Strength (DRSS), formally proving the
rather counter-intuitive result that a DRSS-based LVS has identical performance
to that of an RSS-based LVS, for all levels of correlated shadowing. Even more
surprisingly, the identical performance of RSS and DRSS-based LVSs is found to
hold even when the adversary does not optimize his true location. Only in the
case where the adversary does not optimize all variables under her control, do
we find the performance of an RSS-based LVS to be better than a DRSS-based LVS.
The results reported here are important for a wide range of emerging wireless
communication applications whose proper functioning depends on the authenticity
of the location information reported by a transceiver.ARC Discovery Projects Grant DP150103905