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Systematic Literature Review of IoT Botnet DDOS Attacks and Evaluation of Detection Techniques.
Gelgi, Metehan; Guan, Yueting; Arunachala, Sanjay; Samba Siva Rao, Maddi; Dragoni, Nicola.
Afiliação
  • Gelgi M; DTU Compute, Technical University of Denmark (DTU), 2800 Kongens Lyngby, Denmark.
  • Guan Y; DTU Compute, Technical University of Denmark (DTU), 2800 Kongens Lyngby, Denmark.
  • Arunachala S; DTU Compute, Technical University of Denmark (DTU), 2800 Kongens Lyngby, Denmark.
  • Samba Siva Rao M; DTU Compute, Technical University of Denmark (DTU), 2800 Kongens Lyngby, Denmark.
  • Dragoni N; DTU Compute, Technical University of Denmark (DTU), 2800 Kongens Lyngby, Denmark.
Sensors (Basel) ; 24(11)2024 Jun 01.
Article em En | MEDLINE | ID: mdl-38894365
ABSTRACT
Internet of Things (IoT) technology has become an inevitable part of our daily lives. With the increase in usage of IoT Devices, manufacturers continuously develop IoT technology. However, the security of IoT devices is left behind in those developments due to cost, size, and computational power limitations. Since these IoT devices are connected to the Internet and have low security levels, one of the main risks of these devices is being compromised by malicious malware and becoming part of IoT botnets. IoT botnets are used for launching different types of large-scale attacks including Distributed Denial-of-Service (DDoS) attacks. These attacks are continuously evolving, and researchers have conducted numerous analyses and studies in this area to narrow security vulnerabilities. This paper systematically reviews the prominent literature on IoT botnet DDoS attacks and detection techniques. Architecture IoT botnet DDoS attacks, evaluations of those attacks, and systematically categorized detection techniques are discussed in detail. The paper presents current threats and detection techniques, and some open research questions are recommended for future studies in this field.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article