  In this paper, we study jamming attacks against wireless networks.
Specifically, we consider a network of base stations (BS) or access points (AP)
and investigate the impact of a fixed number of jammers that are randomly
deployed according to a Binomial point process. We shed light on the network
performance in terms of a) the outage probability and b) the error probability
of a victim receiver in the downlink of this wireless network. We derive
analytical expressions for both these metrics and discuss in detail how the
jammer network must adapt to the various wireless network parameters in order
to effectively attack the victim receivers. For instance, we will show that
with only 1 jammer per BS/AP a) the outage probability of the wireless network
can be increased from 1% (as seen in the non-jamming case) to 80% and b) when
retransmissions are used, the jammers cause the effective network activity
factor (and hence the interference among the BSs) to be doubled. Furthermore,
we show that the behavior of the jammer network as a function of the BS/AP
density is not obvious. In particular, an interesting concave-type behavior is
seen which indicates that the number of jammers required to attack the wireless
network must scale with the BS density only until a certain value beyond which
it decreases. In the context of error probability of the victim receiver, we
study whether or not some recent results related to jamming in the
point-to-point link scenario can be extended to the case of jamming against
wireless networks. Numerical results are presented to validate the theoretical
inferences presented.
