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1. 发明授权

US08014310B2 Apparatus and method for visualizing network situation using security cube 有权
标题翻译：使用安全立方体可视化网络情况的装置和方法
公开(公告)号：US08014310B2
公开(公告)日：2011-09-06
申请号：US12516494
申请日：2007-08-23
申请人： Beom-Hwan Chang , Chi-Yoon Jeong , Seon-Gyoung Sohn , Soo-Hyung Lee , Hyo-Chan Bang , Geon-Lyang Kim , Hyun-Joo Kim , Won-Joo Park , Jong-Ho Ryu , Jong-Hyun Kim , Jong-Soo Jang , Sung-Won Sohn , Jung-Chan Na
发明人： Beom-Hwan Chang , Chi-Yoon Jeong , Seon-Gyoung Sohn , Soo-Hyung Lee , Hyo-Chan Bang , Geon-Lyang Kim , Hyun-Joo Kim , Won-Joo Park , Jong-Ho Ryu , Jong-Hyun Kim , Jong-Soo Jang , Sung-Won Sohn , Jung-Chan Na
IPC分类号： H04L12/26
CPC分类号： H04L63/1441 , H04L63/20
摘要： An apparatus and method for visualizing a network condition related to a network security are provided. The apparatus includes a traffic feature extracting unit, a network condition displaying unit, and a traffic abnormal condition determining unit. The traffic feature extracting unit extracts information including source address, source port, destination address, and destination port from network traffics, selects two of the extracted information, and calculates unique dispersion degrees of two unselected information. The network condition displaying unit displays a two-dimensional cube expressed using the calculated unique dispersion degrees for the classified traffics. The traffic abnormal condition determining unit determines whether the traffics are in an abnormal condition or not based on the two-dimensional security cube.
摘要翻译：提供了一种用于可视化与网络安全相关的网络条件的装置和方法。该装置包括交通特征提取单元，网络状态显示单元和交通异常状况判定单元。流量特征提取单元从网络流量提取包括源地址，源端口，目的地址和目的地端口的信息，选择两个提取的信息，并计算两个未选择信息的唯一色散度。网络条件显示单元显示使用所计算的分类业务的唯一色散度表示的二维立方体。交通异常判定单元基于二维安全立方体来判定是否处于异常状态。

2. 发明申请

US20100067391A1 APPARATUS AND METHOD FOR VISUALIZING NETWORK SITUATION USING SECURITY CUBE 有权
标题翻译：使用安全库可视化网络状况的装置和方法
公开(公告)号：US20100067391A1
公开(公告)日：2010-03-18
申请号：US12516494
申请日：2007-08-23
申请人： Beom-Hwan Chang , Chi-Yoon Jeong , Seon-Gyoung Sohn , Soo-Hyung Lee , Hyo-Chan Bang , Geon-Lyang Kim , Hyun-Joo Kim , Won-Joo Park , Jong-Ho Ryu , Jong-Hyun Kim , Jong-Soo Jang , Sung-Won Sohn , Jung-Chan Na
发明人： Beom-Hwan Chang , Chi-Yoon Jeong , Seon-Gyoung Sohn , Soo-Hyung Lee , Hyo-Chan Bang , Geon-Lyang Kim , Hyun-Joo Kim , Won-Joo Park , Jong-Ho Ryu , Jong-Hyun Kim , Jong-Soo Jang , Sung-Won Sohn , Jung-Chan Na
IPC分类号： H04L12/26
CPC分类号： H04L63/1441 , H04L63/20
摘要： An apparatus and method for visualizing a network condition related to a network security are provided. The apparatus includes a traffic feature extracting unit, a network condition displaying unit, and a traffic abnormal condition determining unit. The traffic feature extracting unit extracts information including source address, source port, destination address, and destination port from network traffics, selects two of the extracted information, and calculates unique dispersion degrees of two unselected information. The network condition displaying unit displays a two-dimensional cube expressed using the calculated unique dispersion degrees for the classified traffics. The traffic abnormal condition determining unit determines whether the traffics are in an abnormal condition or not based on the two-dimensional security cube.
摘要翻译：提供了一种用于可视化与网络安全相关的网络状况的装置和方法。该装置包括交通特征提取单元，网络状态显示单元和交通异常状况判定单元。流量特征提取单元从网络流量提取包括源地址，源端口，目的地址和目的地端口的信息，选择两个提取的信息，并计算两个未选择信息的唯一色散度。网络条件显示单元显示使用所计算的分类业务的唯一色散度表示的二维立方体。交通异常判定单元基于二维安全立方体来判定是否处于异常状态。

3. 发明申请

US20110016525A1 APPARATUS AND METHOD FOR DETECTING NETWORK ATTACK BASED ON VISUAL DATA ANALYSIS 审中-公开
标题翻译：基于视觉数据分析检测网络攻击的装置和方法
公开(公告)号：US20110016525A1
公开(公告)日：2011-01-20
申请号：US12630672
申请日：2009-12-03
申请人： Chi Yoon Jeong , Beom-Hwan Chang , Seon-Gyoung Sohn , Johg Ho Ryu , Geon Lyang Kim , Jonghyun Kim , Jung-Chan Na , Hyun sook Cho
发明人： Chi Yoon Jeong , Beom-Hwan Chang , Seon-Gyoung Sohn , Johg Ho Ryu , Geon Lyang Kim , Jonghyun Kim , Jung-Chan Na , Hyun sook Cho
IPC分类号： G06F21/00 , G06K9/68
CPC分类号： H04L63/1425
摘要： An apparatus for detecting a network attack includes a traffic image generator for generating a traffic image using traffic information and additional IP information extracted from the traffic information; a network attack detector for comparing similarities between the traffic image and a previously generated traffic image based on a predetermined similarity threshold to detect the presence of the network attack; and a network attack analyzer for analyzing the traffic image at a time when the network attack is detected to detect network attack information and pattern information of the network attack. A representation unit for visualizing the network attack information and the pattern information of the network attack.
摘要翻译：用于检测网络攻击的装置包括业务图像生成器，用于使用从业务信息提取的业务信息和附加IP信息来生成业务图像; 网络攻击检测器，用于基于预定的相似性阈值来比较业务图像和先前生成的业务图像之间的相似性，以检测网络攻击的存在; 以及网络攻击分析器，用于在检测到网络攻击时分析流量图像，以检测网络攻击信息和网络攻击的模式信息。用于可视化网络攻击信息和网络攻击的模式信息的表示单元。

4. 发明申请

US20050108377A1 Method for detecting abnormal traffic at network level using statistical analysis 审中-公开
标题翻译：采用统计分析方法检测网络异常流量
公开(公告)号：US20050108377A1
公开(公告)日：2005-05-19
申请号：US10749502
申请日：2003-12-31
申请人： Soo-Hyung Lee , Beom-Hwan Chang , Jin-Oh Kim , Jung-Chan Na , Sung-Won Sohn , Chee-Hang Park
发明人： Soo-Hyung Lee , Beom-Hwan Chang , Jin-Oh Kim , Jung-Chan Na , Sung-Won Sohn , Chee-Hang Park
IPC分类号： H04L12/26 , G06F15/173 , H04L29/06
CPC分类号： H04L63/1408
摘要： Disclosed is a method of detecting abnormal traffic at the network level using a statistical analysis and a computer-readable recording medium for recording a program that implements the method. The method includes the steps of: a) gathering local traffic data from each network device and integrating a plurality of the local traffic data to generate traffic data in a network level; b) extracting a characteristic traffic data based on the traffic data in the network level; c) comparing the characteristic traffic data with a characteristic traffic data profile resulting from statistical computations, and determining whether there is abnormal traffic in the network; and d) updating the characteristic traffic data profile using the characteristic traffic data if there is no abnormal traffic in the network, analyzing seriousness of the abnormal traffic and monitoring the abnormal traffic if there is abnormal traffic in the network.
摘要翻译：公开了一种使用统计分析来检测网络级的异常业务的方法，以及用于记录实现该方法的程序的计算机可读记录介质。该方法包括以下步骤：a）从每个网络设备收集本地业务数据，并集成多个本地业务数据以在网络层面生成业务数据; b）基于网络级的业务数据提取特征话务数据; c）将所述特征话务数据与由统计计算得到的特征话务数据简档进行比较，以及确定所述网络中是否存在异常业务; 以及d）如果网络中没有异常流量，则使用特征流量数据更新特征流量数据简档，分析网络异常流量时异常流量的严重性，监控异常流量。

5. 发明申请

US20120117034A1 CONTEXT-AWARE APPARATUS AND METHOD 审中-公开
标题翻译：背景技术和方法
公开(公告)号：US20120117034A1
公开(公告)日：2012-05-10
申请号：US13289238
申请日：2011-11-04
申请人： Chi-Yoon JEONG , Beom-Hwan Chang
发明人： Chi-Yoon JEONG , Beom-Hwan Chang
IPC分类号： G06F17/30
CPC分类号： G06F16/951 , G06F16/958
摘要： Disclosed herein is a context-aware apparatus and method. The context-aware apparatus includes a microblog monitoring unit, a web information collection unit, a microblog information collection unit, and a context-aware information creation unit. The microblog monitoring unit monitors the written information of one or more microblogs, and extracts at least one keyword corresponding to a set topic from the written information. The web information collection unit collects web information corresponding to the keyword from webpages. The microblog information collection unit collects microblog information corresponding to the written information including the keyword from the microblogs. The context-aware information creation unit creates context-aware information using the web information and the microblog information.
摘要翻译：本文公开了一种上下文感知装置和方法。上下文感知装置包括微博监视单元，网页信息收集单元，微博信息收集单元和上下文感知信息创建单元。微博监视单元监视一个或多个微博的书面信息，从写入的信息中提取与设定的主题对应的至少一个关键词。网页信息收集单元从网页收集与该关键字对应的网页信息。微博信息收集单元从微博收集与包含关键词的书面信息对应的微博信息。上下文感知信息创建单元使用web信息和微博信息来创建上下文感知信息。

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