Abstract
With the popularity of Internet of Things (IoT) technology, the security of the IoT network has become an important issue. Traditional intrusion detection systems have their limitations when applied to the IoT network due to resource constraints and the complexity. This research focusses on the design, implementation and testing of an intrusion detection system which uses a hybrid placement strategy based on a multi-agent system, blockchain and deep learning algorithms. The system consists of the following modules: data collection, data management, analysis, and response. The National security lab–knowledge discovery and data mining NSL-KDD dataset is used to test the system. The results demonstrate the efficiency of deep learning algorithms when detecting attacks from the transport layer. The experiment indicates that deep learning algorithms are suitable for intrusion detection in IoT network environment.
Highlights
The Internet of Things (IoT) can be considered as an interconnected system based on approved protocols which exchange information [1] among the devices operating via the internet.Recent advancements in IoT introduces the concept of smartness to devices, sensors, homes, streets and even cities
By testing the detection and training module with different batch sizes, batch numbers and epochs, it is shown that the deep neural network (DNN) model has a better performance for the batch size of 48, the batch number of 300 and a number of epochs of 100 for the other values tested
This paper proposed an intrusion intrusion detection detection system system based based on on aa multi-agent multi-agent system, system, blockchain blockchain and deep learning
Summary
The Internet of Things (IoT) can be considered as an interconnected system based on approved protocols which exchange information [1] among the devices operating via the internet.Recent advancements in IoT introduces the concept of smartness to devices, sensors, homes, streets and even cities. The Internet of Things (IoT) can be considered as an interconnected system based on approved protocols which exchange information [1] among the devices operating via the internet. IoT is one of the leading and growing fields of modern computing and communication technology and has made major contributions to various domains, from agricultural sector to vehicles automation. IoT is referred [2] as the Internet of Everything (IoE) as it deals with any type of connected device in daily life. IoT is a combination [3] of several layers including a network layer. The design of the network layer is based on the traditional layers of Internet communication and is mainly responsible for transferring data packets between hosts. The network layer is complex and a vulnerable portion in
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