IoT异常检测方法及应用综述
IoT Anomaly Detection Methods and Applications: A Survey
摘要：
正在进行的物联网（IoT）异常检测研究是一个快速扩展的领域。这种增长需要审查应用趋势和目前的差距。这些出版物中的绝大多数涉及网络和基础设施安全、传感器监控、灵巧家庭和智能城市应用等领域，并正在扩展到更多的领域。该领域的最新进展增加了研究许多物联网异常检测应用的必要性。本文首先总结了物联网异常检测的方法和应用，并讨论了物联网异常检测算法的分类。然后，我们讨论目前的出版物，以确定不同的应用领域，检查根据我们的搜索标准选择的论文。该调查考虑了2019年1月至2021年7月期间发表的最近出版物中的64篇论文。在最近的出版物中，我们观察到物联网异常检测方法的短缺，例如，在处理具有各种传感器，数据和概念漂移的系统集成时，以及在缺乏地面实况数据的情况下进行数据增强时。最后，我们讨论了目前的挑战，并提供新的视角，需要进一步研究。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
