Research and Simulation of Queue Management Algorithms in Ad Hoc Networks Under DDoS Attack

Abstract

Concentrating on the influence of DDoS applied to ad hoc networks, we introduced three classic queue management algorithms: Drop-Tail, random early detection (RED), and random exponential marking (REM). We analyzed and compared the defensive abilities of these algorithms applied to ad hoc networks with NS2 under DDoS attack. The results showed that active queue management algorithms, such as REM and RED, exhibited stronger defensive abilities than the passive queue management algorithm Drop-Tail under medium- and small-scale DDoS attacks; however, under large-scale DDoS attack, all three algorithms exhibited insufficient defensive capabilities. This means that other defense schemes, such as network detection, must be integrated into security schemes to defeat DDoS attacks.

Keywords

• DDoS
• ad-hoc network
• queue management algorithms
• network simulation software
• defense scheme