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Design the IoT Botnet Defense Process for Cybersecurity in Smart Cityopen access

Authors
Kim, DonghyunJeon, SeunghoShin, JihoSeo, Jung Taek
Issue Date
Sep-2023
Publisher
Tech Science Press
Keywords
cybersecurity; IoT botnet; Smart city
Citation
Intelligent Automation and Soft Computing, v.37, no.3, pp 2979 - 2997
Pages
19
Journal Title
Intelligent Automation and Soft Computing
Volume
37
Number
3
Start Page
2979
End Page
2997
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/89975
DOI
10.32604/iasc.2023.040019
ISSN
1079-8587
2326-005X
Abstract
The smart city comprises various infrastructures, including health-care, transportation, manufacturing, and energy. A smart city’s Internet of Things (IoT) environment constitutes a massive IoT environment encom-passing numerous devices. As many devices are installed, managing security for the entire IoT device ecosystem becomes challenging, and attack vectors accessible to attackers increase. However, these devices often have low power and specifications, lacking the same security features as general Information Technology (IT) systems, making them susceptible to cyberattacks. This vulnerability is particularly concerning in smart cities, where IoT devices are connected to essential support systems such as healthcare and transportation. Disruptions can lead to significant human and property damage. One rep-resentative attack that exploits IoT device vulnerabilities is the Distributed Denial of Service (DDoS) attack by forming an IoT botnet. In a smart city environment, the formation of IoT botnets can lead to extensive denial-of-service attacks, compromising the availability of services rendered by the city. Moreover, the same IoT devices are typically employed across various infrastructures within a smart city, making them potentially vulnerable to similar attacks. This paper addresses this problem by designing a defense process to effectively respond to IoT botnet attacks in smart city environ-ments. The proposed defense process leverages the defense techniques of the MITRE D3FEND framework to mitigate the propagation of IoT botnets and support rapid and integrated decision-making by security personnel, enabling an immediate response. © 2023, Tech Science Press. All rights reserved.
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