System for an engine for forecasting cyber threats and method for forecasting cyber threats using the system
    1.
    发明授权
    System for an engine for forecasting cyber threats and method for forecasting cyber threats using the system 有权
    用于预测网络威胁的引擎系统以及使用该系统预测网络威胁的方法

    公开(公告)号:US08800037B2

    公开(公告)日:2014-08-05

    申请号:US13320263

    申请日:2010-06-22

    摘要: A system for an engine for forecasting cyber threats and a method enabling the forecast of a low-level cyber threat and the forecast of a high-level cyber threat using the low-level cyber threat in a hierarchical structure of cyber threats are provided. The system includes a forecast information database which stores forecast information including cyber threat forecast items, a forecast schedule related to the items, forecast simulation information, forecast item hierarchical structure information, time series data on cyber threats, and sample data on cyber threats; a forecast engine core subsystem which forecasts the levels of threats for the cyber threat forecast items having a hierarchical structure using the forecast information stored in the forecast information database; and a forecast engine control interface which receives control commands for the forecast engine core subsystem from a user or external system, and delivers the received control commands to the forecast engine core subsystem.

    摘要翻译: 提供了一种用于预测网络威胁的引擎系统,并提供了一种能够预测低级网络威胁的方法,并使用网络威胁分层结构中的低级网络威胁来预测高级网络威胁。 该系统包括一个预测信息数据库,存储预测信息,包括网络威胁预测项目,与项目有关的预测进度,预测模拟信息,预测项目分层结构信息,网络威胁时间序列数据和网络威胁示例数据; 预测引擎核心子系统,使用存储在预测信息数据库中的预测信息来预测具有分级结构的网络威胁预测项目的威胁级别; 以及预测引擎控制接口,其从用户或外部系统接收用于预测引擎核心子系统的控制命令,并将接收的控制命令传递到预测引擎核心子系统。

    System and method for predicting cyber threat
    3.
    发明授权
    System and method for predicting cyber threat 有权
    用于预测网络威胁的系统和方法

    公开(公告)号:US08191149B2

    公开(公告)日:2012-05-29

    申请号:US11938356

    申请日:2007-11-12

    IPC分类号: G06F12/14

    CPC分类号: H04L63/145 G06F21/552

    摘要: Provided are a system and method for predicting a cyber threat. The system and method collect various variables and synthetically predict the frequency, dangerousness, possibility, and time of the occurrence of a cyber threat including hacking, a worm/virus, a Denial of Service (DoS) attack, illegal system access, a malicious code, a social engineering attack, system/data falsification, cyber terror/war, weakness exploitation, etc., using a time-series analysis method and a Delphi method, and inform a user in advance of the prediction result, thereby enabling the user to prepare against the cyber threat.

    摘要翻译: 提供了一种用于预测网络威胁的系统和方法。 系统和方法收集各种变量,综合预测网络威胁发生的频率,危险性,可能性和时间,包括黑客,蠕虫/病毒,拒绝服务(DoS)攻击,非法系统访问,恶意代码 使用时间序列分析方法和德尔菲法进行社会工程攻击,系统/数据伪造,网络恐怖/战争,弱势利用等,并提前通知用户预测结果,从而使用户能够 准备反对网络威胁。

    APPARATUS AND METHOD FOR DETECTING ANOMALOUS TRAFFIC
    5.
    发明申请
    APPARATUS AND METHOD FOR DETECTING ANOMALOUS TRAFFIC 有权
    用于检测异常交通的装置和方法

    公开(公告)号:US20090138590A1

    公开(公告)日:2009-05-28

    申请号:US12103266

    申请日:2008-04-15

    IPC分类号: G06F15/173

    CPC分类号: H04L63/1425 H04L43/045

    摘要: An apparatus and method for detecting anomalous traffic are provided. More particularly, an apparatus and method for detecting anomalous traffic based on entropy of network traffic are provided. The apparatus of detecting anomalous traffic includes: an entropy extraction module for extracting entropy from network traffic; a visualization module for generating an entropy graph based on the entropy; a graph model experience module for updating a graph model for each network attack based on the entropy graph; and an anomalous traffic detection module for detecting anomalous traffic based on the entropy graph and the graph model for each network attack and outputting the detection results to a user. In the apparatus and method, anomalous traffic is detected based on network entropy rather than simple statistics based on the amount of traffic, so that a false alarm rate of the apparatus for detecting anomalous traffic can be reduced.

    摘要翻译: 提供了一种用于检测异常流量的装置和方法。 更具体地,提供了一种用于基于网络流量熵来检测异常业务的装置和方法。 检测异常流量的装置包括:熵抽取模块,用于从网络流量提取熵; 用于基于所述熵产生熵图的可视化模块; 用于基于熵图更新每个网络攻击的图形模型的图形模型体验模块; 以及用于根据每个网络攻击的熵图和图形模型检测异常流量的异常流量检测模块,并将检测结果输出给用户。 在装置和方法中,基于网络熵而不是基于业务量的简单统计来检测异常业务,从而可以减少用于检测异常业务的装置的误报率。

    Methods for fabricating electrode structures including oxygen and
nitrogen plasma treatments
    9.
    发明授权
    Methods for fabricating electrode structures including oxygen and nitrogen plasma treatments 失效
    用于制造包括氧和氮等离子体处理的电极结构的方法

    公开(公告)号:US5780115A

    公开(公告)日:1998-07-14

    申请号:US806145

    申请日:1997-02-25

    CPC分类号: H01L28/60

    摘要: A method for fabricating an integrated circuit capacitor includes the steps of forming a first electrode on a microelectronic substrate, and plasma treating the first electrode with a with a plasma of a gas including nitrogen and oxygen. A dielectric film is formed on the plasma treated first electrode opposite the microelectronic substrate. A second electrode is formed on the dielectric film opposite the plasma treated first electrode.

    摘要翻译: 一种用于制造集成电路电容器的方法包括以下步骤:在微电子衬底上形成第一电极,以及用包括氮和氧的气体等离子体等离子体处理第一电极。 在与微电子衬底相对的等离子体处理的第一电极上形成电介质膜。 在与等离子体处理的第一电极相对的电介质膜上形成第二电极。

    SYSTEM AND METHOD FOR PREDICTING CYBER THREAT
    10.
    发明申请
    SYSTEM AND METHOD FOR PREDICTING CYBER THREAT 有权
    用于预测CYBER THREAT的系统和方法

    公开(公告)号:US20080115221A1

    公开(公告)日:2008-05-15

    申请号:US11938356

    申请日:2007-11-12

    IPC分类号: G06F12/14

    CPC分类号: H04L63/145 G06F21/552

    摘要: Provided are a system and method for predicting a cyber threat. The system and method collect various variables and synthetically predict the frequency, dangerousness, possibility, and time of the occurrence of a cyber threat including hacking, a worm/virus, a Denial of Service (DoS) attack, illegal system access, a malicious code, a social engineering attack, system/data falsification, cyber terror/war, weakness exploitation, etc., using a time-series analysis method and a Delphi method, and inform a user in advance of the prediction result, thereby enabling the user to prepare against the cyber threat.

    摘要翻译: 提供了一种用于预测网络威胁的系统和方法。 系统和方法收集各种变量,综合预测网络威胁发生的频率,危险性,可能性和时间,包括黑客,蠕虫/病毒,拒绝服务(DoS)攻击,非法系统访问,恶意代码 使用时间序列分析方法和德尔菲法进行社会工程攻击,系统/数据伪造,网络恐怖/战争,弱势利用等,并提前通知用户预测结果,从而使用户能够 准备反对网络威胁。