In this paper, we focus on identifying and mitigating the
effects of a black hole attack on a wireless sensor network
running DSR using a system called ADIOS: Advanced Detection
of Intrusions On Sensor networks. This paper builds
on the authors’ previously published work [5] by explaining
the ADIOS architecture in greater detail and providing results
of simulations that were performed on the system. ADIOS
uses a combination of a watchdog mechanism, similar to the
one described in [6], as well as a node-resident expert system
to make judgements on neighbour behaviour when trying to
identify an attack. ADIOS is a novel means of network defence
for wireless sensor networks because it uses an expert system
for identifying and mitigating the effects of attacks. ADIOS
is also very extensible since the knowledge that is fed into
the expert system can be updated to add new “intelligence”
without having to modify any of the existing architecture.