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基于BP神经网络的信誉欺骗检测模型
引用本文:金福生,牛振东,吴璠,张全新.基于BP神经网络的信誉欺骗检测模型[J].北京理工大学学报,2012,32(1):62-66,94.
作者姓名:金福生  牛振东  吴璠  张全新
作者单位:北京理工大学软件学院,北京,100081;北京理工大学计算机学院,北京,100081
基金项目:国家自然科学基金资助项目(60705022)
摘    要:在分析信誉系统评价的目标系统的行为特征的基础上,提出了一种集成的BP神经网络模型.该模型使用训练集对构造好的BP神经网络进行训练,将测试集输入到训练好的BP神经网络中,进行欺骗检测,并在行为维度上进行欺骗检测效果验证.实验结果验证了基于BP神经网络的信誉欺骗检测模型的可行性.基于BP神经网络的欺骗检测模型能够快速、准确地实现欺骗行为的检测.

关 键 词:信誉欺骗  BP神经网络  欺骗分类
收稿时间:2011/2/25 0:00:00

A Cheating Detection Model for Reputation System Based on BP Neural Network
JIN Fu-sheng,NIU Zhen-dong,WU Fan and ZHANG Quan-xin.A Cheating Detection Model for Reputation System Based on BP Neural Network[J].Journal of Beijing Institute of Technology(Natural Science Edition),2012,32(1):62-66,94.
Authors:JIN Fu-sheng  NIU Zhen-dong  WU Fan and ZHANG Quan-xin
Institution:School of Software, Beijing Institute of Technology, Beijing 100081, China;School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China;School of Software, Beijing Institute of Technology, Beijing 100081, China;School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
Abstract:Based on the analysis of behavioral characteristics of the target system, which is used to evaluate reputation system, an integrated BP neural network is proposed as the model to detect cheating characteristics for reputation system. The designed training set was used to train BP neural network, the cheating behavior could be detected by inputting test set to the trained BP neural network and the detected effect was verified on behavioral dimensions. Experiment results indicate that the proposed model is feasible and it could achieve the aim of reputation cheating detection with high speed and accuracy.
Keywords:reputation cheating  BP neural network  cheating classification
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