Detecting DDoS Attacks in IoT-Based Networks Using Matrix Profile

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...

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Bibliographic Details
Published inApplied sciences Vol. 12; no. 16; p. 8294
Main Authors Alzahrani, Mohammed Ali, Alzahrani, Ali M., Siddiqui, Muhammad Shoaib
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.08.2022
Subjects
Accuracy
Algorithms
anomaly detection
Datasets
Denial of service attacks
Distributed Denial of Services (DDoS) attacks
Internet of Things
Internet of Things (IoT)
Internet service providers
Machine learning
matrix profile
Neural networks
Security
Smart cities
Software
Support vector machines
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Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app12168294