A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks
Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly detection (AD). With the rapid increase in the number of Internet-connected devices, the growing desire for Internet of Things (IoT) devices in the home, on our person, and in our vehicles, and the transition t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/3/1352 |
| _version_ | 1827759505683775488 |
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| author | Kyle DeMedeiros Abdeltawab Hendawi Marco Alvarez |
| author_facet | Kyle DeMedeiros Abdeltawab Hendawi Marco Alvarez |
| author_sort | Kyle DeMedeiros |
| collection | DOAJ |
| description | Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly detection (AD). With the rapid increase in the number of Internet-connected devices, the growing desire for Internet of Things (IoT) devices in the home, on our person, and in our vehicles, and the transition to smart infrastructure and the Industrial IoT (IIoT), anomaly detection in these devices is critical. This paper is a survey of anomaly detection in sensor networks/the IoT. This paper defines what an anomaly is and surveys multiple sources based on those definitions. The goal of this survey was to highlight how anomaly detection is being performed on the Internet of Things and sensor networks, identify anomaly detection approaches, and outlines gaps in the research in this domain. |
| first_indexed | 2024-03-11T09:26:23Z |
| format | Article |
| id | doaj.art-b2d9eadf54b34716877be80e19796019 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T09:26:23Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b2d9eadf54b34716877be80e197960192023-11-16T17:59:50ZengMDPI AGSensors1424-82202023-01-01233135210.3390/s23031352A Survey of AI-Based Anomaly Detection in IoT and Sensor NetworksKyle DeMedeiros0Abdeltawab Hendawi1Marco Alvarez2Department of Computer Science and Statistics, College of Arts and Sciences, University of Rhode Island, 1 Upper College Road, Kingston, RI 02881, USADepartment of Computer Science and Statistics, College of Arts and Sciences, University of Rhode Island, 1 Upper College Road, Kingston, RI 02881, USADepartment of Computer Science and Statistics, College of Arts and Sciences, University of Rhode Island, 1 Upper College Road, Kingston, RI 02881, USAMachine learning (ML) and deep learning (DL), in particular, are common tools for anomaly detection (AD). With the rapid increase in the number of Internet-connected devices, the growing desire for Internet of Things (IoT) devices in the home, on our person, and in our vehicles, and the transition to smart infrastructure and the Industrial IoT (IIoT), anomaly detection in these devices is critical. This paper is a survey of anomaly detection in sensor networks/the IoT. This paper defines what an anomaly is and surveys multiple sources based on those definitions. The goal of this survey was to highlight how anomaly detection is being performed on the Internet of Things and sensor networks, identify anomaly detection approaches, and outlines gaps in the research in this domain.https://www.mdpi.com/1424-8220/23/3/1352sensorsIoTanomaly detectiongraphsmachine learningneural networks |
| spellingShingle | Kyle DeMedeiros Abdeltawab Hendawi Marco Alvarez A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks Sensors sensors IoT anomaly detection graphs machine learning neural networks |
| title | A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks |
| title_full | A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks |
| title_fullStr | A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks |
| title_full_unstemmed | A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks |
| title_short | A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks |
| title_sort | survey of ai based anomaly detection in iot and sensor networks |
| topic | sensors IoT anomaly detection graphs machine learning neural networks |
| url | https://www.mdpi.com/1424-8220/23/3/1352 |
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