Blackhole Attack Impact Analysis on Low Power Lossy Networks

Abstract

The Internet of Things (IoT) is a network of low-power, low-latency devices that are becoming smart day by day. The market sees a tremendous rise in the demand for IoT devices for various applications. The nature of the smart devices utilized for IoT is confined. As a result, Low Power Lossy Networks (LLN) is effective for extending and smoothing connection. RPL is a distance-vector IPv6 routing protocol that is used in LLN to provide compatibility. It produces a DODAG (Destination Oriented Directed Acyclic Graph) for data routing between client and server nodes within the network. Clients can provide the best path to the sink node using two Objective Functions (OFs): Objective Function Zero (OF0) and Minimum Rank Hysteresis Objective Function (MRHOF) in RPL. In this paper, blackhole attack is analysed in two different types of LLNs. The performance is examined under static and mobile environments. The objective functions is analysed w.r.t performance parameters namely Packet delivery ratio (PDR), Packet loss ratio (PLR), average latency, network overhead and total energy consumption with and without blackhole attack. A maximum PDR of 45.59% is achieved in an attack scenario. The lowest latency of 0.8 seconds is achieved under mobility and attacked network scenario. It is observed from the results that PDR is increasing with the networks and packet loss is reducing.