MANET에서 계층 구조를 이용한 공격 탐지 기법 연구
A Study on Attack Detection using Hierarchy Architecture in Mobile Ad Hoc Network
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MANET has various types of attacks. In particular, routing attacks using characteristics ofmovement of nodes and wireless communication is the most threatening because all nodeswhich configure network perform a function of router which forwards packets. Therefore,mechanisms that detect routing attacks and defense must be applied. In this paper, weproposed hierarchical structure attack detection techniques in order to improve the detectionability against routing attacks. Black hole detection is performed using PIT for monitoringabout control packets within cluster and packet information management on the cluster head. Flooding attack prevention is performed using cooperation-based distributed detectiontechnique by member nodes. For this, member node uses NTT for information managementof neighbor nodes and threshold whether attack or not receives from cluster head. Theperformance of attack detection could be further improved by calculating at regular intervalsthreshold considering the total traffic within cluster in the cluster head.
Abstract
MANET has various types of attacks. In particular, routing attacks using characteristics ofmovement of nodes and wireless communication is the most threatening because all nodeswhich configure network perform a function of router which forwards packets. Therefore,mechanisms that detect routing attacks and defense must be applied. In this paper, weproposed hierarchical structure attack detection techniques in order to improve the detectionability against routing attacks. Black hole detection is performed using PIT for monitoringabout control packets within cluster and packet information management on the cluster head. Flooding attack prevention is performed using cooperation-based distributed detectiontechnique by member nodes. For this, member node uses NTT for information managementof neighbor nodes and threshold whether attack or not receives from cluster head. Theperformance of attack detection could be further improved by calculating at regular intervalsthreshold considering the total traffic within cluster in the cluster head.
참고문헌 (10)
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