کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
450793 694160 2014 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An adaptive elliptical anomaly detection model for wireless sensor networks
ترجمه فارسی عنوان
یک مدل تشخیص بی نظمی آنومالی سازگار برای شبکه های حسگر بی سیم
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی

Wireless Sensor Networks (WSNs) provide a low cost option for monitoring different environments such as farms, forests and water and electricity networks. However, the restricted energy resources of the network impede the collection of raw monitoring data from all the nodes to a single location for analysis. This has stimulated research into efficient anomaly detection techniques to extract information about unusual events such as malicious attacks or faulty sensors at each node. Many previous anomaly detection methods have relied on centralized processing of measurement data, which is highly communication intensive. In this paper, we present an efficient algorithm to detect anomalies in a decentralized manner. In particular, we propose a novel adaptive model for anomaly detection, as well as a robust method for modeling normal behavior. Our evaluation results on both real-life and simulated data sets demonstrate the accuracy of our approach compared to existing methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Networks - Volume 64, 8 May 2014, Pages 195–207
نویسندگان
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