Journal ArticleDOI
Outlier detection approaches for wireless sensor networks
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TLDR
This survey describes a comprehensive overview of existing outlier detection techniques specifically used for the wireless sensor networks and presents a comparative table used as a guideline to select which technique is adequate for the application in terms of characteristics such as detection mode, architectural structure and correlation extraction.About:
This article is published in Computer Networks.The article was published on 2017-12-24. It has received 112 citations till now. The article focuses on the topics: Wireless sensor network & Anomaly detection.read more
Citations
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Journal ArticleDOI
Progress in Outlier Detection Techniques: A Survey
TL;DR: This survey presents a comprehensive and organized review of the progress of outlier detection methods from 2000 to 2019 and categorizes them into different techniques from diverse outlier Detection techniques, such as distance-, clustering-, density-, ensemble-, and learning-based methods.
Journal ArticleDOI
Detecting Sensor Faults, Anomalies and Outliers in the Internet of Things: A Survey on the Challenges and Solutions
TL;DR: A comprehensive guideline to select an adequate outlier detection model for the sensors in the IoT context for various applications is discussed and a comprehensive review of the detecting sensor faults, anomalies, outliers in the Internet of Things and the challenges is presented.
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GAN-based anomaly detection: A review
TL;DR: In this article , a comprehensive review of GAN-based anomaly detection is presented, focusing on the theoretical and technological evolution, theoretical basis, applicable tasks, and practical application of generative adversarial networks.
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Intelligent fuzzy rule-based approach with outlier detection for secured routing in WSN
K. Thangaramya,K. Kulothungan,S. Indira Gandhi,M. Selvi,S. V. N. Santhosh Kumar,Kannan Arputharaj +5 more
TL;DR: It is proved through experiments that the proposed secure routing algorithm and the outlier detection algorithm are able to perform secured and reliable routing through genuine cluster head nodes more effectively and provide improved quality of service with respect to the reliability of communication, packet delivery ratio, reduction in end-to-end delay and reduced energy consumption.
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A Systematic Literature Review on Outlier Detection in Wireless Sensor Networks
Mahmood Safaei,Shahla Asadi,Maha Driss,Wadii Boulila,Abdullah Alsaeedi,Hassan Chizari,Rusli Abdullah,Mitra Safaei +7 more
TL;DR: The current paper presents an improved taxonomy of outlier detection techniques that will help researchers and practitioners to find the most relevant and recent studies related to outlier Detection in WSNs.
References
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The Nature of Statistical Learning Theory
TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
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Bootstrap Methods: Another Look at the Jackknife
TL;DR: In this article, the authors discuss the problem of estimating the sampling distribution of a pre-specified random variable R(X, F) on the basis of the observed data x.
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Anomaly detection: A survey
TL;DR: This survey tries to provide a structured and comprehensive overview of the research on anomaly detection by grouping existing techniques into different categories based on the underlying approach adopted by each technique.