NDLI: Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Moshtaghi, M. Leckie, C. Karunasekera, S. Bezdek, J.C. Rajasegarar, S. Palaniswami, M.
Copyright Year	2011
Abstract	Wireless Sensor Networks (WSNs) provide a low cost option for gathering spatially dense data from different environments. However, WSNs have limited energy resources that hinder the dissemination of the raw data over the network to a central location. This has stimulated research into efficient data mining approaches, which can exploit the restricted computational capabilities of the sensors to model their normal behavior. Having a normal model of the network, sensors can then forward anomalous measurements to the base station. Most of the current data modeling approaches proposed for WSNs require a fixed offline training period and use batch training in contrast to the real streaming nature of data in these networks. In addition they usually work in stationary environments. In this paper we present an efficient online model construction algorithm that captures the normal behavior of the system. Our model is capable of tracking changes in the data distribution in the monitored environment. We illustrate the proposed algorithm with numerical results on both real-life and simulated data sets, which demonstrate the efficiency and accuracy of our approach compared to existing methods.
Starting Page	467
Ending Page	476
File Size	2142879
Page Count	10
File Format	PDF
ISBN	9781457720758
ISSN	15504786
DOI	10.1109/ICDM.2011.80
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Sensors Data models Computational modeling Training Covariance matrix Adaptation models IDCAD Anomaly Detection Streaming Data Analysis Incremental Elliptical Boundary Estimation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Highly Efficient Distance-Based Anomaly Detection through Univariate with PCA in Wireless Sensor Networks

Sensor data boundary estimation for anomaly detection in wireless sensor networks

Tracking of a rotating object in a Wireless Sensor Network using fuzzy based adaptive IMM filter

One-Class Principal Component Classifier for anomaly detection in wireless sensor network

Online anomaly rate parameter tracking for anomaly detection in wireless sensor networks

Outlier Preprocessing in Wireless Sensor Networks: A Two-Layered Ellipse Approach

Mobile robotic wireless sensor networks for efficient spatial prediction

Adaptive and Online Fault Detection Using RPCA Algorithm in Wireless Sensor Network Nodes

Incremental histogram based anomaly detection scheme in wireless sensor networks

Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks

Similar Documents

Highly Efficient Distance-Based Anomaly Detection through Univariate with PCA in Wireless Sensor Networks

Sensor data boundary estimation for anomaly detection in wireless sensor networks

Tracking of a rotating object in a Wireless Sensor Network using fuzzy based adaptive IMM filter

One-Class Principal Component Classifier for anomaly detection in wireless sensor network

Online anomaly rate parameter tracking for anomaly detection in wireless sensor networks

Outlier Preprocessing in Wireless Sensor Networks: A Two-Layered Ellipse Approach

Mobile robotic wireless sensor networks for efficient spatial prediction

Adaptive and Online Fault Detection Using RPCA Algorithm in Wireless Sensor Network Nodes

Incremental histogram based anomaly detection scheme in wireless sensor networks

Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks