Title: Optimised RBIDS: detection and avoidance of black hole attack through NTN communication in mobile ad hoc networks

Authors: V.M. Gayathri; P. Supraja

Addresses: SRM Institute of Science and Technology, Department of Information Technology, Kattankulathur, Chennai, India ' SRM Institute of Science and Technology, Department of Information Technology, Kattankulathur, Chennai, India

Abstract: A mobile ad-hoc networks which is an emerging technology in various fields of computer science along with sensor applications providing a big credential to the people via smart innovation. In this network, each node connected on requirement basis. Since it is infrastructure-less any node can come into the network topology and participate in the packet transmission. In this paper, we are concern about the black hole attack in the network which results in dropping of packets where originally it has to send to the destination. This paper also includes the comparison results of various performance factors based on the scenario used. That is it compares the factors with and without intruder node. An algorithm is proposed to improvise the network performance by detecting the malicious node called RBIDS. This algorithm applies on every individual node over a period of time to calculate their performance based on regression values.

Keywords: NTN; regression-based intruder detection method; RBIDS; ad hoc on demand distance vector protocol; AODV; regression; NS2 simulator; optimised; ad hoc networks; RREQ; RREP; RERR; packet delivery ratio; PDR; MANET.

DOI: 10.1504/IJCAET.2020.108100

International Journal of Computer Aided Engineering and Technology, 2020 Vol.13 No.1/2, pp.4 - 13

Received: 10 Aug 2017
Accepted: 12 Oct 2017
Published online: 03 Jul 2020 *

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