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Performance Evaluation of Cognitive Internet on Things under Routing Attacks

Author(s):

Ruchi Makani* and B.V.R. Reddy  

Abstract:


In past few years, Cognitive Radio (CR) paradigm has emerged as a promising solution to avoid problems of spectrum paucity and inefficiency in spectrum usage. Efficiently utilization of the spectrum offers high network performance. CRs are proficient to identify the unused spectrum in order to allow secondary users to occupy it without interfering the primary user’s activity. Selection of the best available un-utilized cognitive channel by the secondary user is prime challenge in CR network (CRN). Cognitive Internet on Things (CIoT) is an integration of several technologies and communication solutions which can be effectively realized as Cognitive Radio Adhoc Networks [1]. In CR Ad-Hoc Network (CRAHN), on-demand routing protocols are the best suitable protocols due to their dynamic feature of available un-utilized channel/spectrum selection. In this paper, firstly, Ad-Hoc On-Demand Distance Vector (AODV) routing protocol has been modified to address the efficient route selection challenge between the source and destination in CIoT framework. The performance of AODV is evaluated in terms of average throughput with multiple channels available in CIoTs. Secondly, the effects on network performance under network layer routing attacks (i.e. blackhole attack, byzantine attack and flooding attacks) are evaluated. Thereafter, the impact of number of cognitive channels available in CIoT under the network layer attack is also simulated. The simulations results demonstrate network performance increase with more channels and degrade differently under attacks.

Keywords:

AODV, Black Hole attack, Byzantine attack, Cognitive Internet on Things, Cognitive Radio Adhoc Networks, Flooding attack, Network Layer Routing attacks, Spectrum Management Framework

Affiliation:

School of Information and Communication Technology, Guru Govind Singh Indraprasth University, New Delhi, 110 078, School of Information and Communication Technology, Guru Gobind Singh Indraprastha University, New Delhi 110 078



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