Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic Learning Method

Satoshi Kurosawa ； Hidehisa Nakayama ； Nei Kato ； Abbas Jamalipour ； Yoshiaki Nemoto

《International Journal of Network Security》 5卷3期 (2007/11) Pp. 338-346

https://doi.org/10.6633/IJNS.200711.5(3).10

並列摘要

This paper analyzes the blackhole attack which is one of the possible attacks in ad hoc networks. In a blackhole attack, a malicious node impersonates a destination node by sending a spoofed route reply packet to a source node that initiates a route discovery. By doing this, the mali- cious node can deprive the traffic from the source node. In order to prevent this kind of attack, it is crucial to de- tect the abnormality occurs during the attack. In conven- tional schemes, anomaly detection is achieved by defining the normal state from static training data. However, in mobile ad hoc networks where the network topology dy- namically changes, such static training method could not be used efficiently. In this paper, we propose an anomaly detection scheme using dynamic training method in which the training data is updated at regular time intervals. The simulation results show the effectiveness of our scheme compared with conventional scheme.

並列關鍵字

AODV ； anomaly detection ； blackhole attack ； MANET