| dc.description.abstract | The problem of intrusion detection in wireless mesh networks (WMN) is challenging,
primarily because of lack of single vantage points where traffic can be analyzed
and the limited resources available to participating nodes. Although the problem
has received some attention from the research community, little is known about the
tradeoffs among different objectives, such as high network performance, low energy
consumption, and high security effectiveness. In this research, we show how accurate
intrusion detection can be achieved in such resource constrained environments. The
major challenges that hinder the performance of intrusion detection systems (IDS) in
WMN are resources (e.g., energy, processing, and storage capabilities) accompanied
by the adhoc-dynamic communication flows.
In light of these challenges, we classify the proposed solutions into four classes:
1) Resourceless Traffic Aware (RL-TW) IDS, 2) Resourceless Traffic Agnostic (RLTG)
IDS, 3) Resourceful Traffic Agnostic (RF-TG) IDS, and 4) Resourceful Traffic
Aware (RF-TW) IDS. To achieve a desirable level of intrusion detection in WMN,
we propose a research program encompassing five thrusts. First we show how traffic-awareness
helps IDS solutions achieving high detection rates in resource-constrained
WMN. Next, we propose two RL-TG (i.e., cooperative and non-cooperative) IDS
solutions that can optimally monitor the entire WMN traffic without relying on
WMN traffic information. The third (RF-TG) and fourth (RF-TW) IDS solutions
propose energy-efficient monitoring mechanisms for intrusion detection in battery-powered
WMN for traffic-agnostic and traffic-aware scenarios, respectively. We then
investigate the Attack and Fault Tolerance of our proposed solutions and finally
enumerate potential improvements and future works for our proposed solutions. | en |
