네트워크상에서의 방화벽 기반 부하분산 시스템
    1.
    发明公开
    네트워크상에서의 방화벽 기반 부하분산 시스템 无效
    基于负载分配系统的网络防火墙

    公开(公告)号:KR1020090079629A

    公开(公告)日:2009-07-22

    申请号:KR1020080005752

    申请日:2008-01-18

    CPC classification number: H04L12/22 G06F15/00 G06F21/00 H04W12/00

    Abstract: A firewall-based load distribution system at on a network is provided to manage a plurality of servers through a private IP to perform permitting and blocking functions of internal or external user access, thereby realizing a safe server through various policies. A plurality of servers(420,430,440) provides one or more service among web, E-mail, and a DNS(Domain Name System). A private IP(Internet Protocol) address is given to each of the web, the E-mail, and the DNS. A load distribution server(410) opens only a protocol and a port corresponding to a service requested according to a set firewall policy in the service request of an external client. The load distribution server changes a public IP address into the private IP address to connect the external client to a corresponding server.

    Abstract translation: 提供了一种基于网络的基于防火墙的负载分配系统,通过私有IP来管理多个服务器,以执行内部或外部用户访问的许可和阻止功能,从而通过各种策略实现安全的服务器。 多个服务器(420,430,440)在网络,电子邮件和DNS(域名系统)之间提供一个或多个服务。 每个网络,电子邮件和DNS都会提供私有IP(互联网协议)地址。 负载分配服务器(410)仅在外部客户端的服务请求中打开根据设置的防火墙策略请求的服务的协议和端口。 负载分配服务器将公共IP地址更改为专用IP地址,以将外部客户端连接到相应的服务器。

    데이터 마이닝을 이용한 유해 데이터 선별 방법
    2.
    发明公开
    데이터 마이닝을 이용한 유해 데이터 선별 방법 无效
    使用数据挖掘选择有效数据的方法

    公开(公告)号:KR1020090079627A

    公开(公告)日:2009-07-22

    申请号:KR1020080005748

    申请日:2008-01-18

    CPC classification number: G06F17/30539 G06F2216/03

    Abstract: A harmful data screening method using data mining is provided to analyze relation to network information received from a network within a shorter time, thereby preventing a weak point or attach of a new type which is not known. Network information including one or more data through the Internet is received(S200). Related rules are performed for data, and a data item list is stored(S201). Data counting is performed in case one or more other data of received other network information is in the data item list(S202,S203). Harmfulness data invasion information is displayed in case the count of one or more counted data is greater than reference information(S204,S205).

    Abstract translation: 提供了一种使用数据挖掘的有害数据筛选方法,以分析与较短时间内从网络接收的网络信息的关系,从而防止未知的新类型的弱点或附着。 接收包括通过因特网的一个或多个数据的网络信息(S200)。 对数据执行相关规则,并存储数据项列表(S201)。 在接收到的其他网络信息的一个或多个其他数据在数据项列表中的情况下进行数据计数(S202,S203)。 在一个或多个计数数据的计数大于参考信息的情况下显示有害数据侵入信息(S204,S205)。

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