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
    • 81. 发明申请
    • CONTEXTUAL MAPPING OF WEB-PAGES, AND GENERATION OF FRAUD-RELATEDNESS SCORE-VALUES
    • 网页的背景映射以及欺诈相关性分数的生成
    • US20160307201A1
    • 2016-10-20
    • US15194593
    • 2016-06-28
    • BioCatch Ltd.
    • Avi TurgemanOren Kedem
    • G06Q20/40H04L29/06
    • G06Q20/4016G06F21/31G06F21/316G06F21/32G06F21/552G06F21/554G06F2221/2133H04L63/08H04L63/1408H04L63/1441H04L2463/144
    • Devices, systems, and methods of contextual mapping of web-page elements and other User Interface elements, for the purpose of differentiating between fraudulent transactions and legitimate transactions, or for the purpose of distinguishing between a fraudulent user and a legitimate user. User Interface elements of a website or webpage or application or other computerized service, are contextually analyzed. A first User Interface element is assigned a low fraud-relatedness score-value, since user engagement with the first User Interface element does not create a security risk or a monetary exposure. A second, different, User Interface element is assigned a high fraud-relatedness score-value, since user engagement with the second User Interface element creates a security risk or a monetary exposure. The fraud-relatedness score-values are taken into account, together with user-specific behavioral characteristics, in order to determine whether to generate a possible-fraud notification, or as part of generating a possible-fraud score for a particular set-of-operations.
    • 为了区分欺诈性交易和合法交易,或为了区分欺诈用户和合法用户,网页元素和其他用户界面元素的上下文映射的设备,系统和方法。 上下文分析网站或网页或应用程序或其他计算机化服务的用户界面元素。 第一个用户界面元素被赋予低欺诈相关性得分值,因为用户与第一用户界面元素的参与不会产生安全风险或货币风险。 第二个不同的用户界面元素被分配了高欺诈相关性得分值,因为用户与第二用户界面元素的参与会产生安全风险或货币风险。 考虑到欺诈相关性得分值以及用户特定的行为特征,以便确定是否产生可能的欺诈通知,或者作为生成特定集合的可能欺诈评分的一部分, 操作。
    • 85. 发明申请
    • METHOD, DEVICE, AND SYSTEM OF DIFFERENTIATING AMONG USERS BASED ON PLATFORM CONFIGURATIONS
    • 基于平台配置的用户差异的方法,设备和系统
    • US20150205944A1
    • 2015-07-23
    • US14675767
    • 2015-04-01
    • BioCatch Ltd.
    • Avi Turgeman
    • G06F21/31H04W12/06
    • G06F21/316G06F3/041G06F21/31G06F21/32G06F21/554G06F2221/2133H04L63/0861H04L63/102H04L63/1408H04W12/06
    • Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a cyber-attacker. An end-user device interacts and communicates with a server of a computerized server (a banking website, an electronic commerce website, or the like). The interactions are monitored, tracked and logged. User Interface (UI) interferences or irregularities are introduced; and the server tracks the response or the reaction of the end-user to such interferences. The system determines whether the user is a legitimate user, or a cyber-attacker or automated script posing as the legitimate user. The system utilizes classification of users into classes or groups, to deduce or predict how a group-member would behave when accessing the service through a different type of device. The system identifies user-specific traits that are platform-independent and thus can be further monitored when the user switches from a first platform to a second platform.
    • 检测用户身份的设备,系统和方法,区分计算机化服务的用户和检测网络攻击者。 最终用户设备与计算机化服务器(银行网站,电子商务网站等)的服务器进行交互和通信。 互动被监控,跟踪和记录。 介绍用户界面(UI)的干扰或不规则; 并且服务器跟踪最终用户对这种干扰的响应或反应。 系统确定用户是合法用户还是网络攻击者或自动化脚本构成合法用户。 系统利用用户对类或组的分类,推断或预测组成员在通过不同类型的设备访问服务时的行为。 该系统识别与平台无关的用户特有的特征,因此当用户从第一平台切换到第二平台时可进一步监视该特征。