Sensor data validation and abnormal behavior detection in the Internet of Things

机译：物联网中的传感器数据验证和异常行为检测

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

Internet of Things (IoT) and its various application domains are radically changing the lives of people, providing smart services which will ultimately constitute integral components of the living environment. The services of IoT operate based on the data flows collected from the different sensors and actuators. In this respect, the correctness and security of the sensor data transported over the IoT system is a crucial factor in ensuring the correct functioning of the IoT services. In this work, we present a method that can detect abnormal sensor events based on “apriori” knowledge of the behavior of the monitored process. The main advantage of the proposed methodology is that it builds on well-established theoretical works, while delivering a practical technique with low computational requirements. As a result, the developed technique can be hosted on various components of an IoT system. The developed approach is evaluated through real-world use-cases.

机译：物联网（IoT）及其各种应用领域正在从根本上改变人们的生活，提供智能服务，这些服务最终将构成生活环境的组成部分。物联网服务基于从不同传感器和执行器收集的数据流运行。在这方面，通过物联网系统传输的传感器数据的正确性和安全性是确保物联网服务正确运行的关键因素。在这项工作中，我们提出了一种方法，该方法可以基于对被监视过程的行为的“先验”知识来检测异常传感器事件。所提出的方法的主要优点是，它建立在完善的理论基础上，同时提供了一种计算要求低的实用技术。结果，可以将开发的技术托管在物联网系统的各个组件上。通过实际的用例评估开发的方法。

著录项

来源
《2017 16th RoEduNet Conference: Networking in Education and Research》|2017年|1-5|共5页
会议地点 Targu Mures(RO)
作者
Hunor Sándor; Béla Genge; Zoltán Szántó;
展开▼
作者单位

Department of Informatics, Petru Maior University of Tîrgu Mureş, Tîrgu Mureş, Romania;

Department of Informatics, Petru Maior University of Tîrgu Mureş, Tîrgu Mureş, Romania;

Department of Informatics, Petru Maior University of Tîrgu Mureş, Tîrgu Mureş, Romania;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Temperature sensors; Monitoring; Temperature measurement; Actuators; Security; Logic gates; Temperature;

机译：温度传感器;监控;温度测量;执行器;安全性;逻辑门;温度;;

相似文献

外文文献
中文文献
专利

1. A Real-Time Detection Method for Abnormal Data of Internet of Things Sensors Based on Mobile Edge Computing [J] . Xuguang Liu Mathematical Problems in Engineering: Theory, Methods and Applications . 2021,第a期

机译：基于移动边缘计算的事物传感器异常数据的实时检测方法
2. Combining Continuous Smartphone Native Sensors Data Capture and Unsupervised Data Mining Techniques for Behavioral Changes Detection: A Case Series of the Evidence-Based Behavior (eB2) Study [J] . Sofian Berrouiguet, David Ramírez, María Luisa Barrigón, JMIR mHealth and uHealth . 2018,第12期

机译：结合连续智能手机本机传感器数据捕获和无监督数据挖掘技术进行行为变化检测：基于证据的行为（eB2）研究的案例系列
3. ABNORMAL CLINICAL SURGERY DETECTION METHOD AND SYSTEM BASED ON INTERNET OF THINGS AND BIG DATA [J] . Zhu D. J. Basic & clinical pharmacology & toxicology. . 2015,第Suppla4期

机译：基于事物和大数据互联网的异常临床手术检测方法和系统
4. Sensor data validation and abnormal behavior detection in the Internet of Things [C] . Hunor Sándor, Béla Genge, Zoltán Szántó RoEduNet Conference: Networking in Education and Research . 2017

机译：传感器数据验证和Internet Internet的异常行为检测
5. Smartphone Sensor Data Mining for Gait Abnormality Detection [D] . Gallagher, Shaun 2014

机译：智能手机传感器数据挖掘，用于步态异常检测
6. A Novel Sensor Data Pre-Processing Methodology for the Internet of Things Using Anomaly Detection and Transfer-By-Subspace-Similarity Transformation [O] . Yan Zhong, Simon Fong, Shimin Hu, 2019

机译：使用异常检测和子空间相似转换的物联网新型传感器数据预处理方法
7. Figure 3: Sensor’s data life cycle and data trustworthiness validation in two levels (sensor’s module level and sink/gateway level) in the CPS: before/after data transmissions for event detection. [O] . -1

机译：图3：传感器的数据生命周期和两个级别（传感器的模块电平和宿/网关级别）中的数据值得信赖性验证：在用于事件检测的数据传输之前/之后。
8. Expert System for Sensor Data Validation and Malfunction Detection [R] . Hashemi, S. , Hajek, B. K. , Miller, D. W. 1987

机译：传感器数据验证和故障检测专家系统

Sensor data validation and abnormal behavior detection in the Internet of Things

摘要

著录项

相似文献

相关主题

期刊订阅