期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2014
卷号：8
期号：1
页码：283-290
DOI：10.14257/ijsia.2014.8.1.26
出版社：SERSC
摘要：In the practical application of crowdsourcing, some unreliable workers have emerged due to profit driven. Their results seriously reduce the quality and bring about the initiator's judgment biases. In this paper, we creatively put forward a crowdsourcing fraud detection method based on psychological behavior analysis to find out the spammer according to the psychological difference between deception and reliable behavior by means of Ebbinghaus forgetting curve. Furthermore, we constructed an online crowdsourcing experiment platform to verify the validity of our method. As a result, filtration recall and precision attained 0.93 and 0.79 respectively. Moreover, the overall LAM was decreased by 3.7% and AUC increased by 8% before and after filtration. Experimental results show that our method is effective and feasible.
