Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research
Internet of Things (IoT) is promising technology that brings tremendous benefits if used optimally. At the same time, it has resulted in an increase in cybersecurity risks due to the lack of security for IoT devices. IoT botnets, for instance, have become a critical threat; however, systematic and c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/12/5713 |
| _version_ | 1827689294929592320 |
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| author | Majda Wazzan Daniyal Algazzawi Omaima Bamasaq Aiiad Albeshri Li Cheng |
| author_facet | Majda Wazzan Daniyal Algazzawi Omaima Bamasaq Aiiad Albeshri Li Cheng |
| author_sort | Majda Wazzan |
| collection | DOAJ |
| description | Internet of Things (IoT) is promising technology that brings tremendous benefits if used optimally. At the same time, it has resulted in an increase in cybersecurity risks due to the lack of security for IoT devices. IoT botnets, for instance, have become a critical threat; however, systematic and comprehensive studies analyzing the importance of botnet detection methods are limited in the IoT environment. Thus, this study aimed to identify, assess and provide a thoroughly review of experimental works on the research relevant to the detection of IoT botnets. To accomplish this goal, a systematic literature review (SLR), an effective method, was applied for gathering and critically reviewing research papers. This work employed three research questions on the detection methods used to detect IoT botnets, the botnet phases and the different malicious activity scenarios. The authors analyzed the nominated research and the key methods related to them. The detection methods have been classified based on the techniques used, and the authors investigated the botnet phases during which detection is accomplished. This research procedure was used to create a source of foundational knowledge of IoT botnet detection methods. As a result of this study, the authors analyzed the current research gaps and suggest future research directions. |
| first_indexed | 2024-03-10T10:14:48Z |
| format | Article |
| id | doaj.art-8abfbb4cdacf4f689c5e846dc2768d9b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T10:14:48Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-8abfbb4cdacf4f689c5e846dc2768d9b2023-11-22T00:55:56ZengMDPI AGApplied Sciences2076-34172021-06-011112571310.3390/app11125713Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future ResearchMajda Wazzan0Daniyal Algazzawi1Omaima Bamasaq2Aiiad Albeshri3Li Cheng4Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi ArabiaInformation Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi ArabiaComputer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi ArabiaComputer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi ArabiaXinjiang Technical Institute of Physics & Chemistry Chinese Academy of Sciences, Urumqi 830011, ChinaInternet of Things (IoT) is promising technology that brings tremendous benefits if used optimally. At the same time, it has resulted in an increase in cybersecurity risks due to the lack of security for IoT devices. IoT botnets, for instance, have become a critical threat; however, systematic and comprehensive studies analyzing the importance of botnet detection methods are limited in the IoT environment. Thus, this study aimed to identify, assess and provide a thoroughly review of experimental works on the research relevant to the detection of IoT botnets. To accomplish this goal, a systematic literature review (SLR), an effective method, was applied for gathering and critically reviewing research papers. This work employed three research questions on the detection methods used to detect IoT botnets, the botnet phases and the different malicious activity scenarios. The authors analyzed the nominated research and the key methods related to them. The detection methods have been classified based on the techniques used, and the authors investigated the botnet phases during which detection is accomplished. This research procedure was used to create a source of foundational knowledge of IoT botnet detection methods. As a result of this study, the authors analyzed the current research gaps and suggest future research directions.https://www.mdpi.com/2076-3417/11/12/5713Internet of ThingsIoTbotnetdetectionsystematic literature reviewSLR |
| spellingShingle | Majda Wazzan Daniyal Algazzawi Omaima Bamasaq Aiiad Albeshri Li Cheng Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research Applied Sciences Internet of Things IoT botnet detection systematic literature review SLR |
| title | Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research |
| title_full | Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research |
| title_fullStr | Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research |
| title_full_unstemmed | Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research |
| title_short | Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research |
| title_sort | internet of things botnet detection approaches analysis and recommendations for future research |
| topic | Internet of Things IoT botnet detection systematic literature review SLR |
| url | https://www.mdpi.com/2076-3417/11/12/5713 |
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