会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明申请
    • A METHOD AND SYSTEM FOR PRESERVING PRIVACY DURING DATA AGGREGATION IN A WIRELESS SENSOR NETWORK
    • 一种在无线传感器网络中数据聚合时保护隐私的方法和系统
    • WO2012143931A2
    • 2012-10-26
    • PCT/IN2011/000385
    • 2011-06-09
    • TATA CONSULTANCY SERVICES LIMITEDUKIL, ArijitSEN, Jaydip
    • UKIL, ArijitSEN, Jaydip
    • H04W12/04
    • H04W12/04H04L9/083H04W12/02H04W84/18
    • A computer-based system and method for secured privacy preservation scheme while data aggregation in a non-hierarchical wireless sensor network that lacks peer- to-peer communication between the communicating sensor nodes is disclosed. The method and system adopts formation of. self-adaptive efficient cluster formation for robust privacy preservation in the network by grouping the multiple sensor nodes in the network to form multiple clusters that enables low computation overhead and high scalability in the network. The method and system of the invention discloses an effective twin-key management scheme that provides establishment of secure communication among the sensor nodes and the secure communication between at least one sensor node with the sever node performing the function data aggregation of the data collected by the sensor nodes.
    • 公开了一种基于计算机的系统和方法,用于在非分层无线传感器网络中的数据聚合之间进行安全隐私保护方案,该网络在通信传感器节点之间缺少对等通信。 该方法和系统采用形成。 通过对网络中的多个传感器节点进行分组以形成多个集群,从而实现网络中的低计算开销和高可扩展性,从而实现网络中强大的隐私保护的自适应高效集群形成。 本发明的方法和系统公开了一种有效的双密钥管理方案,其提供传感器节点之间的安全通信建立和至少一个传感器节点与服务器节点之间的安全通信,该节点执行由所述传感器节点收集的数据的功能数据聚合 传感器节点。
    • 4. 发明申请
    • PRIVACY UTILITY TRADE OFF TOOL
    • 隐私实体贸易工具
    • WO2014049605A1
    • 2014-04-03
    • PCT/IN2013/000518
    • 2013-08-27
    • TATA CONSULTANCY SERVICES LIMITED
    • UKIL, Arijit
    • G06F21/62
    • G06F21/6254
    • Method(s) and system(s) for providing an optimal trade off point between privacy of a private data and utility of a utility application thereof are described. The method includes quantifying privacy content of a private data associated with a user based on uniqueness of information in the private data, where the private content comprises sensitive information about the user. The method further includes determining a privacy-utility trade off point model based on analytical analysis of the privacy content, a privacy requirement of the user, and a utility requirement of third party to which the private data is disclosed, where the privacy-utility trade off point model is indicative of optimal private data sharing technique with the third party. Furthermore, the method also includes identifying privacy settings for the user based on risk appetite of the third party, utilizing the determined privacy-utility tradeoff point model..
    • 描述了在私有数据的隐私和其实用应用的实用性之间提供最佳折衷点的方法和系统。 该方法包括基于私有数据中的信息的唯一性量化与用户相关联的私有数据的隐私内容,其中私有内容包括关于用户的敏感信息。 该方法还包括基于隐私内容的分析分析,用户的隐私要求以及公开私有数据的第三方的公用事业要求来确定隐私 - 效用交易点模型,其中隐私 - 公用事业交易 离线模型表明与第三方的最佳私有数据共享技术。 此外,该方法还包括基于第三方的风险偏好来识别用户的隐私设置,利用所确定的隐私 - 应用折衷模型。
    • 5. 发明申请
    • SYSTEM AND METHOD FOR DATABASE PRIVACY PROTECTION
    • 用于数据库隐私保护的系统和方法
    • WO2013072930A2
    • 2013-05-23
    • PCT/IN2012/000638
    • 2012-09-25
    • TATA CONSULTANCY SERVICES LIMITEDUKIL, ArijitSEN, Jaydip
    • UKIL, ArijitSEN, Jaydip
    • H04L29/06
    • G06F21/60G06F21/6227G06F21/6254
    • The invention relates to a system and a method for privacy preservation of sensitive attributes stored in a database. The invention reduces the complexity and enhances privacy preservation of the database by determining the distribution of sensitive data based on Kurtosis measurement. The invention further determines and compares the optimal value of k- sensitive attributes in k -anonymity data sanitation model with the optimal value of I sensitive attributes in / diversity data sanitation model using adversary information gain. The invention reduces the complexity of the method for preserving privacy by applying k anonymity only, when the distribution of the sensitive data is leptokurtic and optimal value of k is greater than the optimal value of /.
    • 本发明涉及一种用于隐藏保存存储在数据库中的敏感属性的系统和方法。 本发明通过基于峰度测量确定敏感数据的分布来降低数据库的复杂性并增强隐私保护。 本发明还使用对手信息增益来确定和比较k-匿名数据卫生模型中的k敏感属性的最佳值与/分集数据卫生模型中I敏感属性的最优值。 本发明通过仅使用k匿名来保护隐私的方法的复杂性,当敏感数据的分布是leptokurtic且k的最优值大于/的最优值时。