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公开(公告)号：US09116877B2
公开(公告)日：2015-08-25
申请号：US13520060
申请日：2011-01-06
Applicant: Rajarathnam Chandramouli , Xiaoling Chen , Koduvayur P. Subbalakshmi
Inventor： Rajarathnam Chandramouli , Xiaoling Chen , Koduvayur P. Subbalakshmi
IPC: G06F17/27
CPC classification number: G06F17/2715 , G06F17/2785
Abstract: An apparatus and method for determining whether a text is deceptive may comprise analyzing a body of textual content known to be one of text containing true content and text containing deceptive content; identifying psycho-linguistic cues that are indicative of a text being deceptive; statistically analyzing, via a computing device, a given text based upon the psycho-linguistic cues to determine if the text is deceptive. The apparatus and method may further comprise weighting the psycho-linguistic cues and statistically analyzing based on the weighted psycho-linguistic cues. The statistically analyzing step may be performed using one of a cue matching analysis, a weighted cue matching analysis, a Markov chain analysis, and a sequential probability ratio testing binary hypothesis analysis. The psycho-linguistic cues may be separated into categories, including increasing trend cues and decreasing trend cues and analyzed according to presence in a category from within the categories.
Abstract translation: 用于确定文本是否具有欺骗性的装置和方法可以包括分析已知是包含真实内容的文本之一的文本内容和包含欺骗性内容的文本的主体; 识别表明文本是欺骗性的心理语言提示; 通过计算设备统计分析基于心理语言提示的给定文本，以确定文本是否具有欺骗性。 该装置和方法还可以包括基于加权心理语言线索来加权心理语言线索和统计分析。 统计分析步骤可以使用提示匹配分析，加权提示匹配分析，马尔科夫链分析和连续概率比测试二进制假设分析之一进行。 心理语言线索可以分为类别，包括增加趋势线索和减少趋势线索，并根据类别中的类别进行分析。
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公开(公告)号：US20130046531A1
公开(公告)日：2013-02-21
申请号：US13520060
申请日：2011-01-06
Applicant: Rajarathnam Chandramouli , Xiaoling Chen , Koduvayur P. Subbalakshmi
Inventor： Rajarathnam Chandramouli , Xiaoling Chen , Koduvayur P. Subbalakshmi
IPC: G06F17/27
CPC classification number: G06F17/2715 , G06F17/2785
Abstract: An apparatus and method for determining whether a text is deceptive may comprise analyzing a body of textual content known to be one of text containing true content and text containing deceptive content; identifying psycho-linguistic cues that are indicative of a text being deceptive; statistically analyzing, via a computing device, a given text based upon the psycho-linguistic cues to determine if the text is deceptive. The apparatus and method may further comprise weighting the psycho-linguistic cues and statistically analyzing based on the weighted psycho-linguistic cues. The statistically analyzing step may be performed using one of a cue matching analysis, a weighted cue matching analysis, a Markov chain analysis, and a sequential probability ratio testing binary hypothesis analysis. The psycho-linguistic cues may be separated into categories, including increasing trend cues and decreasing trend cues and analyzed according to presence in a category from within the categories.
Abstract translation: 用于确定文本是否具有欺骗性的装置和方法可以包括分析已知是包含真实内容的文本之一的文本内容和包含欺骗性内容的文本的主体; 识别表明文本是欺骗性的心理语言提示; 通过计算设备统计分析基于心理语言提示的给定文本，以确定文本是否具有欺骗性。 该装置和方法还可以包括基于加权心理语言线索来加权心理语言线索和统计分析。 统计分析步骤可以使用提示匹配分析，加权提示匹配分析，马尔科夫链分析和连续概率比测试二进制假设分析之一进行。 心理语言线索可以分为类别，包括增加趋势线索和减少趋势线索，并根据类别中的类别进行分析。
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3.发明授权Systems and methods for automatically detecting deception in human communications expressed in digital form 有权以数字形式表达的人类通信中自动检测欺骗的系统和方法公开(公告)号：US09292493B2
公开(公告)日：2016-03-22
申请号：US13659445
申请日：2011-04-26
Applicant: Rajarathnam Chandramouli , Xiaoling Chen , Koduvayur P. Subbalakshmi , Rohan Perera
Inventor： Rajarathnam Chandramouli , Xiaoling Chen , Koduvayur P. Subbalakshmi , Rohan Perera
CPC classification number: G06F17/28 , G06F17/274 , G06F17/2785 , G06Q10/107 , H04L63/1416
Abstract: An apparatus and method for determining whether text is deceptive has a computer programmed with software that automatically analyzes text in digital form by at least one of statistical analysis of psycho-linguistic cues, IP geo-location, gender analysis, authorship analysis, and analysis to detect coded/camouflaged messages. The computer has truth data against which the text message can be compared and a graphical user interface. The computer may be connectable to the Internet and may obtain the text automatically. Speech-to-text software may be used to convert verbal messages to text for analysis. The system may be made available on a webpage, web service, on a computer or by a wireless device. The text may be emails, website content, tweets. In one embodiment, the system detects coded messages.
Abstract translation: 用于确定文本是否具有欺骗性的装置和方法具有用软件编程的计算机，其通过至少一种心理语言提示，IP地理位置，性别分析，作者分析和分析的统计分析来自动分析数字形式的文本 检测编码/伪装消息。 计算机具有可以比较文本消息的真实数据和图形用户界面。 计算机可以连接到互联网，并可以自动获取文本。 语音到文本软件可用于将语言消息转换成文本进行分析。 该系统可以在网页，web服务，计算机或无线设备上可用。 文字可能是电子邮件，网站内容，推文。 在一个实施例中，系统检测编码消息。
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Patent Agency Ranking
公开(公告)号：US20100325413A1
公开(公告)日：2010-12-23
申请号：US12064976
申请日：2007-08-21
CPC classification number: H04N21/435 , H04N21/235 , H04N21/23892 , H04N21/812 , H04N21/8586
Abstract: A steganographic message/advertisement embedding method is presented that can be used for contextual and targeted advertising supporting unobtrusive and on-demand message/advertisement delivery. The present invention presents over two client devices, the method includes receiving, on a first client device, a primary multimedia presentation with a plurality of steganographic codes embedded therein; whereby the steganographic code is not perceivable during a rendering of the multimedia presentation and the steganographic code is associated with at least one secondary multimedia presentation. Next; the primary multimedia presentation is rendered on the first client device. The first client device receives a user selection to select at least one of the steganographic codes. In response to the user selection, a secondary multimedia presentation is presented to the user in response to receiving the user selection, wherein the second multimedia presentation is presented over a second client device which is distinct from the first client device.
Abstract translation: 提供了一种隐写消息/广告嵌入方法，可以用于支持不引人注意的按需消息/广告传递的上下文和有针对性的广告。 本发明提出了两个客户端设备，该方法包括在第一客户端设备上接收其中嵌入有多个隐写代码的主要多媒体呈现; 由此在呈现多媒体呈现期间隐身编码不可感知，并且隐写代码与至少一个次要多媒体呈现相关联。 下一个; 主要多媒体呈现在第一客户端设备上呈现。 第一客户端设备接收用户选择以选择至少一个隐写代码。 响应于用户选择，响应于接收到用户选择而向用户呈现辅助多媒体呈现，其中通过不同于第一客户端设备的第二客户端设备呈现第二多媒体呈现。
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公开(公告)号：US08555052B2
公开(公告)日：2013-10-08
申请号：US12064976
申请日：2007-08-21
CPC classification number: H04N21/435 , H04N21/235 , H04N21/23892 , H04N21/812 , H04N21/8586
Abstract: A steganographic message/advertisement embedding method is presented that can be used for contextual and targeted advertising supporting unobtrusive and on-demand message/advertisement delivery. The present invention presents over two client devices, the method includes receiving, on a first client device, a primary multimedia presentation with a plurality of steganographic codes embedded therein; whereby the steganographic code is not perceivable during a rendering of the multimedia presentation and the steganographic code is associated with at least one secondary multimedia presentation. Next; the primary multimedia presentation is rendered on the first client device. The first client device receives a user selection to select at least one of the steganographic codes. In response to the user selection, a secondary multimedia presentation is presented to the user in response to receiving the user selection, wherein the second multimedia presentation is presented over a second client device which is distinct from the first client device.
Abstract translation: 提供了一种隐写消息/广告嵌入方法，可以用于支持不引人注意的按需消息/广告传递的上下文和有针对性的广告。 本发明提出了两个客户端设备，该方法包括在第一客户端设备上接收其中嵌入有多个隐写代码的主要多媒体呈现; 由此在呈现多媒体呈现期间隐身编码不可感知，并且隐写代码与至少一个次要多媒体呈现相关联。 下一个; 主要多媒体呈现在第一客户端设备上呈现。 第一客户端设备接收用户选择以选择至少一个隐写代码。 响应于用户选择，响应于接收到用户选择而向用户呈现辅助多媒体呈现，其中通过不同于第一客户端设备的第二客户端设备呈现第二多媒体呈现。
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6.发明申请SYSTEMS AND METHODS FOR AUTOMATICALLY DETECTING DECEPTION IN HUMAN COMMUNICATIONS EXPRESSED IN DIGITAL FORM 有权用于自动检测在数字表达中表达的人类通信中的拒绝的系统和方法公开(公告)号：US20130138428A1
公开(公告)日：2013-05-30
申请号：US13659445
申请日：2011-04-26
Applicant: Rajarathnam Chandramouli , Xiaoling Chen , Koduvayur P. Subbalakshmi , Rohan Perera
Inventor： Rajarathnam Chandramouli , Xiaoling Chen , Koduvayur P. Subbalakshmi , Rohan Perera
IPC: G06F17/28
CPC classification number: G06F17/28 , G06F17/274 , G06F17/2785 , G06Q10/107 , H04L63/1416
Abstract: An apparatus and method for determining whether text is deceptive has a computer programmed with software that automatically analyzes text in digital form by at least one of statistical analysis of psycho-linguistic cues, IP geo-location, gender analysis, authorship analysis, and analysis to detect coded/camouflaged messages. The computer has truth data against which the text message can be compared and a graphical user interface. The computer may be connectable to the Internet and may obtain the text automatically. Speech-to-text software may be used to convert verbal messages to text for analysis. The system may be made available on a webpage, web service, on a computer or by a wireless device. The text may be emails, website content, tweets. In one embodiment, the system detects coded messages (FIG. 19).
Abstract translation: 用于确定文本是否具有欺骗性的装置和方法具有用软件编程的计算机，其通过至少一种心理语言提示，IP地理位置，性别分析，作者分析和分析的统计分析来自动分析数字形式的文本 检测编码/伪装消息。 计算机具有可以比较文本消息的真实数据和图形用户界面。 计算机可以连接到互联网，并可以自动获取文本。 语音到文本软件可用于将语言消息转换成文本进行分析。 系统可以在网页，web服务，计算机上或无线设备上可用。 文字可能是电子邮件，网站内容，推文。 在一个实施例中，系统检测编码消息（图19）。
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7.发明申请AUTOMATED DETECTION OF DECEPTION IN SHORT AND MULTILINGUAL ELECTRONIC MESSAGES 审中-公开自动检测短暂的电子消息和多电子信息公开(公告)号：US20120254333A1
公开(公告)日：2012-10-04
申请号：US13455862
申请日：2012-04-25
Applicant: Rajarathnam Chandramouli , Xiaoling Chen , Koduvayur P. Subbalakshmi , Peng Hao , Na Cheng , Rohan Perera
Inventor： Rajarathnam Chandramouli , Xiaoling Chen , Koduvayur P. Subbalakshmi , Peng Hao , Na Cheng , Rohan Perera
IPC: G06F15/16
Abstract: A method and apparatus for automatically identifying harmful electronic messages, such as those presented in emails, on Craigslist or on Twitter, Facebook and other social media websites, features methodology for discriminating unwanted garbage communications (spam) and unwanted deceptive messages (scam) from wanted, truthful communications based upon patterns discernable from samples of each type of electronic communication. Methods are proposed that enable discrimination of wanted from unwanted communications in short electronic messages, such as on Twitter and for multilingual application.
Abstract translation: 用于自动识别有害电子信息的方法和装置，例如在Craigslist或Twitter，Facebook和其他社交媒体网站上呈现的电子邮件中的有害电子信息的特征方法，用于区分不期望的垃圾通信（垃圾邮件）和不需要的欺骗性消息（欺诈） ，基于每种类型的电子通信样本可辨别的模式的真实通信。 提出了一种方法，可以通过简短的电子消息（例如在Twitter上）和多语言应用程序来区分来自不需要的通信的想要的内容。
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公开(公告)号：US07529384B2
公开(公告)日：2009-05-05
申请号：US11200866
申请日：2005-08-10
Applicant: Koduvayur P. Subbalakshmi , Palak K. Amin
Inventor： Koduvayur P. Subbalakshmi , Palak K. Amin
CPC classification number: G06T1/0064 , G06T2201/0051 , G06T2201/0052 , G06T2201/0061 , G06T2201/0065 , H04N1/32154 , H04N1/32165 , H04N1/32352
Abstract: A product and process for extracting hidden data from a stego-image that has been subjected to scaling attacks are disclosed. The hidden data extraction method of the present invention retains the one-to-one mapping of the stego-image blocks to the corresponding blocks in the scaled image. When the stego-image is scaled down, the block size for extracting the hidden data is reduced proportionally. When the stego-image is scaled up, the block size for extracting the hidden data is increased proportionally. The total overall number of blocks of pixels to be examined is kept constant between the scaled image and the stego-image. The hidden data extraction method can be combined with any existing block-DCT based data hiding method to provide an overall method for dealing with scaling attacks. Both the extraction method and the combined method can be implemented in software and stored within a machine-readable medium.
Abstract translation: 公开了一种从已经进行了缩放攻击的隐形图像中提取隐藏数据的产品和过程。 本发明的隐藏数据提取方法将图像块的一对一映射保存在缩放图像中的相应块。 当图像缩小时，用于提取隐藏数据的块大小按比例缩小。 当放大图像时，用于提取隐藏数据的块大小按比例增加。 被检查的像素块的总总数在缩放图像和隐形图像之间保持恒定。 隐藏数据提取方法可以与任何现有的基于块DCT的数据隐藏方法相结合，提供一种处理扩展攻击的整体方法。 提取方法和组合方法都可以软件实现并存储在机器可读介质中。
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