大数据时代社交网络信息传输隐私保护仿真

Social Network Information Transmission Privacy Protection Simulation in the Era of Big Data

大数据在给生活带来便利的同时,也给信息安全带来了隐患,针对当前方法存在的隐私信息泄露概率高、隐私信息保护效率低的问题,提出一种基于隐私保护模型和信息加密的隐私保护方法。创建信宿数学模型,定义一个信源熵,并引入隐私条件熵和平均隐私互信息量,对条件熵和互信息量进行计算,并利用基于RSA和Paillier的单一同态密码体制的隐私保护方法对用户的隐私信息进行加密,实现大数据时代下社交网络信息传输隐私的保护。仿真结果表明,所提方法隐私信息泄露率低、保护效率高,并且具有信息传输隐私保护用时短的优点。

At present,big data not only bring convenience to our life,but also bring hidden trouble to information security.Therefore,this article presented a method to protect privacy based on privacy protection model and information encryption.Firstly,we built a mathematical model of information sink and defined an information source entropy,and then introduced the privacy conditional entropy and average privacy mutual information amount.Moreover,we calculated the conditional entropy and mutual information amount.Meanwhile,we used the privacy protection method based on monomorphism cryptosystem of RSA and Paillier to encrypt the private information.Thus,we realized the privacy protection of information transmission in social network under the era of big data.Simulation results show that the proposed method has low leakage rate of private information and high protection efficiency.Meanwhile,this method needs short time for privacy protection of information transmission.