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    • 4. 发明申请
    • DETECTION METHODS AND DEVICES OF WEB MIMICRY ATTACKS
    • WEB MIMICRY攻击的检测方法和设备
    • US20110185420A1
    • 2011-07-28
    • US12820564
    • 2010-06-22
    • Hahn-Ming LEEEn-Sih LIOUJerome YEHChing-Hao MAO
    • Hahn-Ming LEEEn-Sih LIOUJerome YEHChing-Hao MAO
    • G06F11/00
    • H04L63/1416G06F21/31H04L63/168
    • A web mimicry attack detection device is provided, including: a first token sequence collector receiving a hypertext transfer protocol request and extracting string content of the hypertext transfer protocol request according to a token collection method to generate a token sequence corresponding to the hypertext transfer protocol request, wherein the token sequence comprises a plurality of the tokens; and a mimicry attack detector generating a label and a confidence score corresponding individually to the tokens according to the tokens and a conditional random field probability model, summing the confidence score individually corresponding to the tokens in the token sequence by a summary rule to generate a summary confidence score, and determining whether the hypertext transfer protocol request is an attack according to the summary confidence score and the label individually corresponding to the tokens.
    • 提供一种网络模拟攻击检测装置,包括:第一令牌序列收集器,接收超文本传输​​协议请求,并根据令牌收集方法提取超文本传输​​协议请求的字符串内容,以生成与超文本传输​​协议请求对应的令牌序列 ,其中所述令牌序列包括多个所述令牌; 以及模拟攻击检测器,其根据所述令牌和条件随机场概率模型,生成与所述令牌单独对应的标签和置信度分数,所述随机场概率模型通过总结规则将令牌序列中的所述令牌各自对应的置信度得分相加,以生成摘要 置信度得分,以及根据总结置信度得分和单独对应于令牌的标签来确定超文本传输​​协议请求是否是攻击。
    • 7. 发明申请
    • Method and system for monitoring volume information in stock market
    • 股票市场信息监控方法及系统
    • US20050038729A1
    • 2005-02-17
    • US10639466
    • 2003-08-13
    • Yen-Tseng HsuChien-Ming ChenJerome Yeh
    • Yen-Tseng HsuChien-Ming ChenJerome Yeh
    • G06Q40/00G06F17/60
    • G06Q40/04
    • An information monitoring method is provided which may track and monitor specific events of changing input data, such as stock market information, and notify venture capitalists or investors in real time of the occurrence of identified events of interest. According to the method to train or learn the quantitative patterns inherent in data sets, such as correlation between MAP and MAV, the relationship based on rules is built. A gray coefficient, trained by neural network under the specific events occurred in the historical data, is obtained for tracking and monitoring the present input data in real time. Artificial intelligence is therefore provided permitting adaptive monitoring of the input data in present invention.
    • 提供信息监控方法,其可以跟踪和监测诸如股票市场信息的变化输入数据的特定事件,并且在发生感兴趣的事件的实时时通知风险资本家或投资者。 根据训练或学习数据集固有的定量模式的方法,如MAP与MAV之间的相关性,建立了基于规则的关系。 在历史数据中发生的特定事件下由神经网络训练的灰度系数被实时跟踪和监视当前输入数据。 因此,提供了人造智能,允许对本发明中的输入数据进行自适应监视。
    • 9. 发明授权
    • Network attack detection devices and methods
    • 网络攻击检测设备和方法
    • US08341742B2
    • 2012-12-25
    • US12837986
    • 2010-07-16
    • Hahn-Ming LeeSi-Yu HuangJerome YehChing-Hao Mao
    • Hahn-Ming LeeSi-Yu HuangJerome YehChing-Hao Mao
    • H04L29/06
    • H04L63/1416H04L29/12066H04L61/1511
    • A network attack detection device is provided, including a spatial coordinate database for storing spatial coordinate data; a standard time zone database for storing standard time zone data; a domain name system packet collector for collecting a domain name system packet; a spatial snapshot feature extractor for extracting internet protocol address corresponding to the domain name system packet according to the domain name system packet, and generating spatial feature data corresponding to the internet protocol address according to the internet protocol address, the spatial coordinate data and the standard time zone data; and an attack detector for determining whether the domain name system packet is an attack according to the spatial feature data and a spatial snapshot detection model, and when determining that the domain name system packet is an attack, sending a warning to indicate the attack.
    • 提供一种网络攻击检测装置,包括用于存储空间坐标数据的空间坐标数据库; 用于存储标准时区数据的标准时区数据库; 用于收集域名系统包的域名系统包收集器; 空间快照特征提取器,用于根据域名系统分组提取与域名系统分组对应的互联网协议地址,并根据因特网协议地址,空间坐标数据和标准产生与互联网协议地址对应的空间特征数据 时区数据; 以及用于根据空间特征数据和空间快照检测模型来确定域名系统分组是否是攻击的攻击检测器,并且当确定域名系统分组是攻击时,发送指示攻击的警告。