Models & Optimisation and Mathematical Analysis Journal
Volume 11, Numéro 1, Pages 29-33
2024-01-09
Intrusion Detection Based On Neural Networks Neural Networks In Iot
Authors : Chaima Bensaid .
Abstract
Artificial neural networks (ANNs) are biologically inspired computer networks used for a wide variety of problems, based on supervised learning and comprising three layers: input, hidden and output.The Internet of Things or IoT is a set of objects, sensors, and other elements connected to an Internet or other networks, these nodes make it possible to collect and exchange data. The nature of the nodes exposes IoT to many types of attacks. in particular, the Blackhole attack. This attack is one of the active and dangerous attacks in the network layer. Therefore, in this article, a performant approach to detect and suppress the Blackhole attack in IoT in the environment of AODV routing protocol using a neural network. The simulation result on NS2 shows the efficiency of the proposed system and the speed of detection of the malicious node.
Keywords
IOT; DoS; AODV ,NS2, ANN
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