中文摘要：

随着P2P网络借贷行业的爆发式增长，成交规模进入万亿元时代，其用户信息安全和隐私越来越被公众所关注。针对网贷用户的敏感数据安全脱敏问题进行研究，分析传统的脱敏替代、混洗、数值变换、加密与置空等技术的特点与不足，提出了值域扩展一模糊化、栅栏、单属性泛化等新的补充方法。同时，结合P2P网贷的自身特殊性，对其各类型数据采取不同的技术方案进行脱敏，保证用户敏感信息不被泄露。最后提出了下一步研究的重点和方向，即将向动态生产环境和大数据结合的研究点进行侧重。

英文摘要：

With the explosive growth of P2P lending, the scale of transactions comes into the era of one trillion yuan, information security and privacy of the user increasingly attracts attention from the public. The technologies of data masking based on sensitive data of the user are studied, the characteristics and disadvantages of traditional technologies analyzed, such as shuffling, numerical transformation, encryption and emptying, and some new supplement approaches （rail-fence, normalization, generalization etc.） to improving the deficiencies of the traditional method proposed. And combined with the particularities of P2P lending itself and with different technical solutions, the data masking on various types of data is done, thus to avoid sensitive information leakage. Finally, the emphasis and direction for next-step reasearch is given, that is, with focus on the research of dynamic production environment in combination of big data.