Abstract
As the number of Internet of Things (IoT) devices connected to the network rapidly increases, network attacks such as flooding and Denial of Service (DoS) are also increasing. These attacks cause network disruption and denial of service to IoT devices. However, a large number of heterogenous devices deployed in the IoT environment make it difficult to detect IoT attacks using traditional rule-based security solutions. It is challenging to develop optimal security models for each type of the device. Machine learning (ML) is an alternative technique that allows one to develop optimal security models based on empirical data from each device. We employ the ML technique for IoT attack detection. We focus on botnet attacks targeting various IoT devices and develop ML-based models for each type of device. We use the N-BaIoT dataset generated by injecting botnet attacks (Bashlite and Mirai) into various types of IoT devices, including a Doorbell, Baby Monitor, Security Camera, and Webcam. We develop a botnet detection model for each device using numerous ML models, including deep learning (DL) models. We then analyze the effective models with a high detection F1-score by carrying out multiclass classification, as well as binary classification, for each model.
Highlights
At the 2016 World Economic Forum (WEF, known as the Davos Forum), The FourthIndustrial Revolution by Klaus Schwab became a turning point in transforming our society from an information society into an intelligent information society
We first develop an Internet of Things (IoT) botnet detection model based on the proposed framework
We developed a framework based on Machine learning (ML) and deep learning (DL) to detect IoT botnet attacks and detected botnet attacks targeting various IoT devices using this framework
Summary
At the 2016 World Economic Forum (WEF, known as the Davos Forum), The Fourth. Industrial Revolution by Klaus Schwab became a turning point in transforming our society from an information society into an intelligent information society. The Fourth Industrial Revolution represents a fundamental change in the way we live, work, and relate to one another [1]. Key technologies leading the fourth industrial revolution include the Internet of Things (IoT), the cloud, big data, mobile technology, and artificial intelligence (AI). These intelligent information technologies are creating new industries and revolutionizing the ecosystem of existing manufacturing industries. With the inclusion of the IoT in the Gartner Top
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