Nature Inspired Evolutionary Algorithm (ACO) for Efficient Detection of DDoS Attacks on Networks

Among the various attacks found extensively in the literature
distributed denial of service attack is a special form of attack
which poses to be a great menace and if not properly dealt
with has the capability of bringing the power of computing
systems to a halt with severe financial losses. Of the several
defence mechanisms found in the literature, the most
prevalent and prominently used ones are the intelligent and
soft computing based evolutionary algorithms. Three such
algorithms have been taken, investigated and experimented in
this thesis for defence against DDoS attacks. This paper
investigates the last algorithm namely ant colony
optimization (ACO) which is yet another nature inspired
algorithm for providing optimality in the DDoS defence
system implemented. The last part of this chapter provides a
comparative analysis of all the three implementations with
respect to certain network critical parameters and inferences
drawn based on the research findings.