Maneuvering Black-Hole Attack Using Different Traffic Generators in MANETs

Abstract

Malicious attacks in the network should be detected and examined by exploring its type, intension, nature, cause, and effects to handle security threats. The attack could be just for an acquaintance or with determination to harm a network. The type of attack implemented is black hole in which the traffic is attracted by node and destination is kept deprived of the transmission. The analysis is done using FTP, VBR, and CBR generators at the application layer. VBR is supported by IPv4 only. The scenario is designed using IPv4 over DYMO routing protocol as it is an advanced version of AODV for the traffic generators that supports IPv4. The traffic monitoring protocols are applied to check the packet delivery rate at the sink and in case of any possibility of leakage, the traffic is directed through some other shortest path with the assumption of availability of malicious node which needs to be eliminated from transmission as a preventive measure. Black hole usually assimilates traffic of the network around it and tries to harm the network by reducing the performance metrics of the system. The aim is to enhance different characteristics for diverting the traffics toward a black-hole node in the initial scenario, later on detecting a malicious node, preventive steps are applied, viz the node is taken in a loop of suspension and is deactivated from transmission by using a phenomenon called Human-in-the-loop. To measure performance metrics like utilization, average transmission delay, end-to-end delay, traffic analysis, and packet delivery rate are used.