An Adaptive Ensemble Classifier for Steganalysis Based on Dynamic Weighted Fusion

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	An Adaptive Ensemble Classifier for Steganalysis Based on Dynamic Weighted Fusion
	Xikai Xu; Jing Dong; Wei Wang; Tieniu Tan
	2015
会议日期	October 23–24, 2015
会议地点	Chengdu, China
关键词	Steganalysis
英文摘要	Recently, ensemble classifier is predominantly used for steganalysis of digital media, due to its efficiency when working with high-dimensional feature sets and large databases. While fusing the decisions of many weak base classifiers, the majority voting rule is often used, which has the disadvantage that all the classifiers have the same authority regardless of their individual classification abilities. In this paper, we propose a new dynamic weighted fusion method for steganalysis which can be adaptive to input testing samples. For each testing sample, the weight of each base classifier is dynamically assigned according to the distance between the testing sample and the classifier. Experimental results show that the proposed method is able to increase steganalysis performance.
会议录	Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/12567]
专题	自动化研究所_智能感知与计算研究中心
通讯作者	Jing Dong
推荐引用方式 GB/T 7714	Xikai Xu,Jing Dong,Wei Wang,et al. An Adaptive Ensemble Classifier for Steganalysis Based on Dynamic Weighted Fusion[C]. 见:. Chengdu, China. October 23–24, 2015.