Title :
Bee-based IP traceback
Author :
Hamedi-Hamzehkolaie, M. ; Sanei, R. ; Chi Chen ; Xue Tian ; Nezhad, M.K.
Author_Institution :
Tehran Univ., Tehran, Iran
Abstract :
IP traceback to the origin of denial of service (DoS) attack is extremely hard and most existing methods such as marking and logging based approaches are not practical and need changes in infrastructure. The flow-based IP traceback is a new approach which can use the advantages of metaheuristic algorithms. In this paper, a bee colony algorithm is applied to find the DoS attack source. The traffic flows are considered as the food sources that must be explored by bees. The simulation result shows the efficiency of this method. Besides, this method needs little storage space and requires no changes in routing infrastructure.
Keywords :
IP networks; ant colony optimisation; computer network security; telecommunication traffic; DoS attack source; bee colony algorithm; bee-based IP traceback; denial of service attack; flow-based IP traceback; food sources; logging based approaches; marking based approaches; metaheuristic algorithms; network security; routing infrastructure; storage space; traffic flows; Accuracy; Computer crime; Equations; IP networks; Internet; Mathematical model; Telecommunication traffic; DoS attack; IP traceback; bee colony; flow; intrusion detection; metaheuristic; network security;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5147-5
DOI :
10.1109/FSKD.2014.6980970