In particular wireless networks, IPv6 Low Power over wireless personal area networks is a specific network configuration frame- work with the low power wireless devices with limited processing capabilities. In this network, the malicious node attacks over at the network layer. Moreover it is an unstable network, the formation of the path of networks only through the AODV Routing Protocol. In the view of security aspects the existing techniques were proposed in MANET but these are more vulnerable in 6LoWPAN Networks. It is increased number of packet dropping attacks like Black Hole attacks may cause the undesired operations in the time of routing the packet transfer. Thus the existing cryptographic systems are not sufficient to protect and very difficult and defend the routing protocol RPL. Here a new data aggregation based mechanism for black hole attack detection has been proposed in efficient manner. In this mechanism, the black hole node is detected by frequent monitoring and trustworthy prediction of reply packets that are transmitted by the sensor nodes and it will be removed from the network. The implementation results show that the improved efficiency in the detection of black hole attacks with MANET. More experiments were discussed about the detection mechanism in MANET.

6LoWPAN, Wireless Sensor Networks, Black Hole Attacks, Routing Protocol, AODV, Data Aggregation

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