An Octopus-Inspired Intrusion Deterrence Model in Distributed Computing System

Emmanuel Ajayi Olajubu, Ibrahim Kazeem Ogundoyin, Abiodun Akinwale


The study formulated and evaluated a model for effective management of malicious
nodes in mobile Ad-hoc network based on Ad-Hoc on- demand distance
vector routing protocol. A collaborative injection model called Collaborative
Injection Deterrence Model (CIDM) was formulated using stochastic theory.
The definition of the model was presented using graph theory. CIDM was
simulated using three different scenarios. The three scenarios were then compared
using packets delivery ratio (PDR), routing load, throughput and delay
as performance metrics. The simulation result showed that CIDM reduce considerably
the rate of packets dropped caused by malicious nodes in MANET
network. CIDM did not introduce additional load to the network and yet with
produce higher throughput. Lastly, the access delay with CIDM is minimal
compared with convectional OADV. The study developed a model to mete out
a punitive measure to rogue nodes as a form of intrusion deterrence without
degrading the overall performance of the network. The well known CRAWDAD
dataset was used in the simulation.


CIDM; MANET; Intrusion detection; Mobility; Routing Load; Throughput; 1-hop neighbors; wireless; Malicious; Injection

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