An Unsupervised Local Outlier Detection Method for Wireless Sensor Networks
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 8
Abstract
Recently, wireless sensor networks (WSNs) have provided many applications, which need precise sensing data analysis, in many areas. However, sensing datasets contain outliers sometimes. Although outliers rarely occur, they seriously reduce the precision of the sensing data analysis. In the past few years, many researches focused on outlier detection. However, many of them ignored one factor that WSNs are usually deployed in a dynamic environment that changes with time. Thus, we propose a new method, which is an unsupervised learning method based on mean-shift algorithm, for outlier detection that can be used in a dynamic environment for WSNs. To make our method adapt to a dynamic environment, we define two new distances for outlier detection. Moreover, the simulation shows that our method performed on real sensing dataset has ideal results; it finds outliers with a low false positive rate and has a high recall. For generality, we also test our method on different synthetic datasets.
Authors and Affiliations
Tianyu Zhang, Qian Zhao, Yoshihiro Shin, Yukikazu Nakamoto
Keywords
Related Articles
- EP ID EP260633
- DOI 10.14569/IJACSA.2017.080850
- Views 89
- Downloads 0
Very Low Power Viterbi Decoder Employing Minimum Transition and Exchangeless Algorithms for Multimedia Mobile Communication
A very low power consumption viterbi decoder has been developed by low supply voltage and 0.15 µm CMOS process technology. Significant power reduction can be achieved by modifying the design and implementatio...
Multicast Routing with Load Balancing in Multi-Channel Multi-Radio Wireless Mesh Networks
By an increasing expansion of multimedia services and group communication applications, the need for multicast routing to respond to multicast requests in wireless mesh networks is felt more than before. One of the main...
Evaluating the Usability of Optimizing Text-based CAPTCHA Generation
A CAPTCHA is a test that can, automatically, tell human and computer programs apart. It is a mechanism widely used nowadays for protecting web applications, interfaces, and services from malicious users and automated spa...
Improving Vertical Handoffs Using Mobility Prediction
The recent advances in wireless communications require integration of multiple network technologies in order to satisfy the increasing demand of mobile users. Mobility in such a heterogeneous environment entails that use...
SSH Honeypot: Building, Deploying and Analysis
This article is set to discuss the various techniques that can be used while developing a honeypot, of any form, while considering the advantages and disadvantages of these very different methods. The foremost aims are t...