Application of Neural Networks to Intrusion Detection: Intrusion Detection System are becoming largely employed
as a fundamental security systems to secure company
networks. Ideally, an IDS has the capacity to detect in real-
time all (attempted) intrusions, and to execute work to stop
the attack (for example, modifying firewall rules).
Commercial tools available today have limitations in
detecting real intrusions, and neural network is an efficient
way to improve the performances of IDS systems which are
based on the misuse detection model and the anomaly
detection model.
Neural Network in Communication:Typical RF and
wireless circuits comprise a large number of linear and non-
linear components. Complexity of RF portion of a wireless
system continues to increase in order to support multiple
standards, multiple frequency bands, need for higher
bandwidth and stringent adjacent channel specifications.
The time required to carry out a virtual prototyping of such
complex circuits and their trade-off analysis with the
baseband circuitry, can be unacceptably long, because both
the circuit simulation and optimization procedures can be
very time-consuming. Typically, one divides the task into
that of designing the non-linear elements or sub-circuits at
module level. Neural network speeds up the modeling RF
circuits.
Neural Network in Robotics:A novel topological world
model and region-filling algorithm is used for autonomous
vacuuming robots. Humans, and other animals, model their
environment using topologies of landmarks. This type of
representation does not rely solely on an absolute coordinate
system. Therefore, a coherent world model can be
constructed with noisy sensor data as long as the landmarks
are properly recognized. Landmark recognition is central to
the implementation of the proposed world model on a real
robot. A neural network can easily recognize the natural
landmarks selected. Two types of neural network (multi-
layer perceptron and learning vector quantisation) were
trained and tested on a real robot for a natural landmark
recognition task.
