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    • 122. 发明申请
    • Method and System for Preventing Phishing Attacks
    • 防止网络钓鱼攻击的方法和系统
    • US20130031627A1
    • 2013-01-31
    • US13543935
    • 2012-07-09
    • Bin WangLin XieYin SongLei ZhangMan SunDong Li
    • Bin WangLin XieYin SongLei ZhangMan SunDong Li
    • G06F21/00
    • G06F21/56G06F21/54G06F21/577
    • A method, system and program product for preventing phishing attacks, wherein the method comprises: acquiring links in a Web page; classifying the acquired links according link types; and determining whether a phishing attack exists according to the classified links, wherein the links are classified into two types: internal links belonging to the same domain as the address of the Web page, and external links belonging to a different domain from the address of the Web page. By carrying out the method or system according to the above one or more embodiments of the present disclosure, since it is first detected whether a Web page is a fake website of a phishing attack before displaying the reproduced Web page to the user and the user is warned upon detecting a fake website, unnecessary losses due to phishing attacks can be prevented.
    • 一种用于防止网络钓鱼攻击的方法,系统和程序产品,其中所述方法包括:获取网页中的链接; 根据链接类型对获取的链接进行分类; 以及根据所分类的链接确定是否存在网络钓鱼攻击,其中所述链接被分为两种类型:属于与所述网页的地址相同的域的内部链路,以及属于与所述网页的地址不同的域的外部链接 网页。 通过执行根据本公开的上述一个或多个实施例的方法或系统,由于在向用户显示再现的网页之前首先检测网页是否是网络钓鱼攻击的假网站,并且用户是 在检测到假网站时发出警告,可以防止因网络钓鱼攻击造成的不必要的损失。
    • 123. 发明申请
    • CONCURRENT PARSING AND PROCESSING OF HTML AND JAVASCRIPT®
    • HTML和JAVASCRIPT®的同步分配和处理
    • US20120290924A1
    • 2012-11-15
    • US13106064
    • 2011-05-12
    • Christopher A. VickBin WangMehrdad Mohammad H. Reshadi
    • Christopher A. VickBin WangMehrdad Mohammad H. Reshadi
    • G06F17/00
    • G06F17/272G06F17/2247G06F17/2725
    • The aspects enable a processor to concurrently execute markup language code (e.g., HTML) having embedded scripting language code (e.g., JavaScript®) during a page load operation by a browser. A markup language parser parses markup language code until embedded scripting language code is encountered. The segment of embedded scripting language code is extracted for execution by a scripting language engine which proceeds concurrently with speculative parsing of the markup language code. Markup language code generated by execution of scripting language code is evaluated to determine if it is well formed, and a partial rollback of the markup language parse and re-parsing of portions of the markup language code is accomplished if not. Concurrent parsing of markup language code and execution of scripting language code, with partial roll back of the parsing process when necessary, continues until all markup language code has been parsed and all scripting language code has been executed.
    • 这些方面使处理器能够在浏览器的页面加载操作期间同时执行具有嵌入式脚本语言代码(例如,JavaScript®)的标记语言代码(例如,HTML)。 标记语言解析器解析标记语言代码,直到遇到嵌入式脚本语言代码。 提取嵌入式脚本语言代码段以由与标记语言代码的推测性解析同时进行的脚本语言引擎执行。 评估通过执行脚本语言代码生成的标记语言代码,以确定其是否形成良好,如果不是,则完成标记语言解析和部分标记语言代码的重新解析的部分回滚。 同时解析标记语言代码和执行脚本语言代码,必要时部分回滚解析过程,一直持续到所有标记语言代码已被解析并且所有脚本语言代码都已被执行。
    • 128. 发明授权
    • Classification of images as advertisement images or non-advertisement images
    • 图像分类为广告图像或非广告图像
    • US08027940B2
    • 2011-09-27
    • US12945635
    • 2010-11-12
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • G06F15/18
    • G06Q30/02G06Q30/0277
    • An advertisement image classification system trains a binary classifier to classify images as advertisement images or non-advertisement images and then uses the binary classifier to classify images of web pages as advertisement images or non-advertisement images. During a training phase, the classification system generates training data of feature vectors representing the images and labels indicating whether an image is an advertisement image or a non-advertisement image. The classification system trains a binary classifier to classify images using training data. During a classification phase, the classification system inputs a web page with an image and generates a feature vector for the image. The classification system then applies the trained binary classifier to the feature vector to generate a score indicating whether the image is an advertisement image or a non-advertisement image.
    • 广告图像分类系统训练二进制分类器将图像分类为广告图像或非广告图像,然后使用二进制分类器将网页的图像分类为广告图像或非广告图像。 在训练阶段,分类系统生成表示图像的特征向量的训练数据,以及指示图像是广告图像还是非广告图像的标签。 分类系统训练二进制分类器,以使用训练数据对图像进行分类。 在分类阶段,分类系统输入具有图像的网页,并生成图像的特征向量。 然后,分类系统将经过训练的二进制分类器应用于特征向量,以生成指示图像是广告图像还是非广告图像的分数。
    • 130. 发明申请
    • METHOD AND APPARATUS FOR OPTIMIZING GENERATION OF USER INTERFACE
    • 用于优化用户界面生成的方法和装置
    • US20110214076A1
    • 2011-09-01
    • US13034898
    • 2011-02-25
    • Jie CuiXiao Xi LiuBin WangJing Min Xu
    • Jie CuiXiao Xi LiuBin WangJing Min Xu
    • G06F3/048
    • G06F8/38
    • An apparatus and method which enable re-developers to perform complicated user interface development in a simple manner by setting extensible elements and loading thereto add-on application programs. In the apparatus and method of the invention, one or more extensible elements are set in a host user interface application. Then, one or more add-on user interface applications are loaded to one or more of the set extensible elements. The apparatus and method according to the invention can adjust the user interface dynamically, in real-time and finely without the need to close and reboot the application program. The apparatus and method of the invention do not limit the development language
    • 一种使重新开发人员能够以简单的方式执行复杂的用户界面开发的设备和方法,通过设置可扩展元素并加载附加应用程序。 在本发明的装置和方法中,在主用户界面应用中设置一个或多个可扩展元素。 然后,将一个或多个附加的用户界面应用程序加载到一个或多个集合的可扩展元素中。 根据本发明的装置和方法可以实时和精细地动态地调整用户界面,而无需关闭和重新启动应用程序。 本发明的装置和方法不限制开发语言