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Title	Detecting Ddos Attacks In Iot-Based Networks Using Matrix Profile
ID_Doc	19189
Authors	Alzahrani M.A.; Alzahrani A.M.; Siddiqui M.S.
Year	2022
Published	Applied Sciences (Switzerland), 12, 16
DOI	http://dx.doi.org/10.3390/app12168294
Abstract	The Internet of Things (IoT) is a swiftly developing technology in all sectors, with the number of devices that connect to the Internet has increased remarkably in recent years. However, most of these devices use cheap hardware and lack a concrete security defence system. This may encourage hackers to recruit these devices and use them to launch Distributed Denial of Service (DDoS) attacks, which is one of the main causes of concern among security engineers. This paper investigates the possibility of using a matrix profile to detect DDoS attacks in an IoT-based environment. According to our empirical experiments, the preliminary findings illustrate that the matrix profile algorithm can efficiently detect IoT-based DDoS attacks. © 2022 by the authors.
Author Keywords	anomaly detection; Distributed Denial of Services (DDoS) attacks; Internet of Things (IoT); matrix profile; smart cities

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