Title :
DG-Based DDoS Detection Using Hybrid Strategy
Author :
Peng, Dan ; Chang, Guiran ; Guo, Rui ; Qin, Yuhai
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
In this paper, it is advocated that defenders should take active action to stop DDoS attacks. We propose a new model based on differential games theory. Four main actors are included, attacker, defender, victim, and Botnet. It is our belief that victims who experience an attack should cooperate with defender to defend for a DDoS-attack. The model indicates the minimum number of bots that should blocked by defender. A hybrid strategy is used to determine how a Defender combats an Attacker and protect the servers. The feasibility and effectiveness of our approach is validated by measuring the performance of an experimental prototype against a series of attacks. The advantages of the scheme are discussed and further research directions are given.
Keywords :
game theory; security of data; DDoS attacks; differential games theory; hybrid strategy; Automatic control; Computer crime; Computer worms; Control systems; Fuzzy systems; Game theory; Information science; Knowledge engineering; Network servers; Protection;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Jinan Shandong
Print_ISBN :
978-0-7695-3305-6
DOI :
10.1109/FSKD.2008.654