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دسته بندی:
اینترنت اشیاء - Internet of Things
سال انتشار:
2022
عنوان انگلیسی مقاله:
IoT anomaly detection methods and applications: A survey
ترجمه فارسی عنوان مقاله:
روش ها و کاربردهای تشخیص ناهنجاری اینترنت اشیا: یک مرور
منبع:
ScienceDirect- Elsevier- Internet of Things, 19 (2022) 100568: doi:10:1016/j:iot:2022:100568
نویسنده:
Ayan Chatterjee
چکیده انگلیسی:
Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly expanding
field. This growth necessitates an examination of application trends and current gaps. The
vast majority of those publications are in areas such as network and infrastructure security,
sensor monitoring, smart home, and smart city applications and are extending into even more
sectors. Recent advancements in the field have increased the necessity to study the many IoT
anomaly detection applications. This paper begins with a summary of the detection methods
and applications, accompanied by a discussion of the categorization of IoT anomaly detection
algorithms. We then discuss the current publications to identify distinct application domains,
examining papers chosen based on our search criteria. The survey considers 64 papers among
recent publications published between January 2019 and July 2021. In recent publications, we
observed a shortage of IoT anomaly detection methodologies, for example, when dealing with
the integration of systems with various sensors, data and concept drifts, and data augmentation
where there is a shortage of Ground Truth data. Finally, we discuss the present such challenges
and offer new perspectives where further research is required.
keywords: Anomaly detection | Internet of Things | IoT | Review | Survey | Applications
قیمت: رایگان
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