文章基本信息

标题：Enhanced Filtering Technique to Filter False Data in Wireless Sensor Networks
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作者：S.D.Manojna ; Dr CH.Satyanarayana
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2016
卷号：7
期号：4
页码：222-224
语种：English
出版社：Ayushmaan Technologies
摘要：As a result of confined computational power and vitality resources, aggregation of data from various sensor hubs done at the aggregating hub is regularly mastered by fundamental methodologies, for instance, averaging. However such total is known to be highly vulnerable to hub compromising assaults. Since WSN are, for the most part unattended and without modified safe gear, they are exceptionally helpless to such attacks. Consequently, finding unwavering quality of data and reputation of sensor hubs is crucial for WSN. As the execution of low power processors radically upgrades, future aggregator hubs will be fit for performing more modern data all out computations, subsequently making WSN less vulnerable. In this we demonstrate that few existing iterative isolating counts, while in a general sense more solid against connivance strikes than the direct averaging strategies, are by and by susceptive to a novel modern agreement assault we exhibit. To address this security issue, we propose a change for iterative separating procedures by giving a hidden theory to such counts which makes them agreement strong, and more exact and quicker combining.
关键词：WSN;Robust Data Aggregation;Collusion Attacks