期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：4
页码：8151
DOI：10.15680/IJIRCCE.2016.0404331
出版社：S&S Publications
摘要：As there is a limitation in com putational power and energy resources, these two parameters becomes big challenges for WSN (Wireless Sensor Nodes). For data aggregation for sensor network use simple algorithm named as averaging due to above mentioned limitations, this simple algorithm cr eates many threats like malicious attacks. To overcome such threats in this paper we are using iterative filtering algorithms. These algorithms simultaneously aggregates data from multiple sources and provide trust estimation of corresponding sources in th e form of weight factors assigned to data provided by each and every source. We are using Gaussian variables to estimate bias and MLE for variance estimation for reputation vector estimation. Identification of a new sophisticated collusion attack against I F based a reputation system which reveals a severe vulnerability of Iterative Filtering algorithms, deployment of an efficient and robust aggregation method inspired by the MLE, which utilizes an estimation of the noise parameters
