Nature inspired evolutionary algorithm (ACO) for efficient detection of DDoS attacks on networks

Abstract

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.