无线网络数据传输中用户信息实时获取仿真
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摘要
对无线网络数据传输中的用户信息进行获取,能够延长无线网络生命期,对用户信息进行实时获取,需要对无线网络用户信息敏感属性值进行分析,计算用户信息泄露风险。传统方法建立了无线网络用户信息熵模型,计算无线网络用户信息的风险泄露程度,但忽略了对用户信息敏感属性的分析,导致用户信息损失程度大,提出一种基于ε-差分隐私的无线网络数据传输中用户信息实时获取方法,分析无线网络数据传输中用户信息敏感属性值的个数及其分布规律,计算用户信息泄露风险。针对泄露风险较高的用户信息,添加了一个服从Laplace分布的随机噪声,对添加随机噪声后的传送服务请求进行处理并将实际得到的处理结果反馈给终端用户,以实现无线网络数据传输中用户信息的实时获取。仿真结果表明,所提方法获取用户信息效率高,较好地保护了无线网络结构特性。
To obtain user information in wireless network data transmission can prolong the life period of wireless network. To get user information needs to analyze the sensitive attribute value of user information. Traditional methods ignore the analysis of user information sensitive attribute. This paper puts forward a method to obtain user information during wireless network data transmission in real time based on ε-differential privacy. Firstly,the amount and distribution regularity of user information sensitive attribute value in wireless network data transmission was analyzed and user information disclosure risk was calculated. Then,a random noise obeying Laplace distribution was added for high risk user. Moreover,the transfer service request adding random noise was processed. Finally,the actual processing result was fed back to user. Thus,we achieved real-time acquisition of user information in wireless network data transmission. Simulation results show that the proposed method has high efficiency to obtain user information.Meanwhile,it can protect the structure feature of wireless network well.
To obtain user information in wireless network data transmission can prolong the life period of wireless network. To get user information needs to analyze the sensitive attribute value of user information. Traditional methods ignore the analysis of user information sensitive attribute. This paper puts forward a method to obtain user information during wireless network data transmission in real time based on ε-differential privacy. Firstly,the amount and distribution regularity of user information sensitive attribute value in wireless network data transmission was analyzed and user information disclosure risk was calculated. Then,a random noise obeying Laplace distribution was added for high risk user. Moreover,the transfer service request adding random noise was processed. Finally,the actual processing result was fed back to user. Thus,we achieved real-time acquisition of user information in wireless network data transmission. Simulation results show that the proposed method has high efficiency to obtain user information.Meanwhile,it can protect the structure feature of wireless network well.
引文
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[2]荀智德,等.面向战术信息环境的实时共享方法[J].指挥信息系统与技术,2017,8(2):41-46.
[3]仇婷,刘岩芳.网络环境下影响用户信息获取行为的因素——基于沟通分析的方法[J].图书馆,2017,14(10):97-101.
[4]黄传慧,万力勇.高校学术用户移动学习信息查询行为影响因素分析[J].现代情报,2017,23(3):52-56.
[5]王卫军.高校图书馆室内用户位置情景信息获取及应用[J].图书馆学刊,2016,14(6):111-113.
[6]余国雄,等.基于物联网的荔枝园信息获取与智能灌溉专家决策系统[J].农业工程学报,2016,32(20):144-152.
[7]卢章平,王丽佳.网络学术信息获取的用户行为分析与策略研究[J].中国集体经济,2016,14(10):149-150.
[8]宛玲,马守军,霍艳花.数字信息服务中个人信息保护研究框架[J].情报理论与实践,2016,39(8):18-21.
[9]韦相和,张宏.机会社会网络用户信息资源加密仿真研究[J].计算机仿真,2016,22(12):270-273.
[10]孙媛.大数据网络协作传输优化编码方法.[J].科技通报,2017,3(33):104-107.