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公开(公告)号：KR100456635B1
公开(公告)日：2004-11-10
申请号：KR1020020070686
申请日：2002-11-14
Applicant: 한국전자통신연구원
IPC: H04L12/22
CPC classification number: H04L63/1458
Abstract: A system for defending against a distributed denial-of-service attack includes an intrusion detection system, an active security management system and an active security node. The intrusion detection system generates alert data if a denial-of-service attack is detected. The active security management system manages a domain, analyzes the alert data, generates and transmits a backtracking sensor in a case of the distributed denial-of-service attack, transmits mobile sensors to a host backtracked by the backtracking sensor to remove a master or an agent program within the host; and generates and transmits a backtracking sensor by using an IP address of a host that has transmitted a packet to the removed master or agent program. The active security node executes the transmitted backtracking sensor to backtrack an attacking host of the distributed denial-of-service attack and, if the backtracked host is determined as a real attacker, intercepts a traffic generated from the real attacker.
Abstract translation: 防范分布式拒绝服务攻击的系统包括入侵检测系统，主动安全管理系统和主动安全节点。 如果检测到拒绝服务攻击，入侵检测系统会生成警报数据。 主动安全管理系统管理域，分析警报数据，在发生分布式拒绝服务攻击的情况下生成并发送回溯传感器，将移动传感器发送给由回溯传感器回溯的主机以移除主或者 主机内的代理程序; 并且通过使用已经发送分组的主机的IP地址到去除的主或代理程序来生成并发送回溯传感器。 主动安全节点执行发送的回溯传感器以回溯分布式拒绝服务攻击的攻击主机，并且如果回溯主机被确定为真正的攻击者，则拦截真正的攻击者产生的通信量。
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公开(公告)号：KR1020080040257A
公开(公告)日：2008-05-08
申请号：KR1020060107959
申请日：2006-11-02
Applicant: 한국전자통신연구원
IPC: G06F11/00
Abstract: A method and a device for detecting an unknown worm and virus early in a network level are provided to manage the unknown worm and virus in an early stage by collecting traffic information from nodes of various sub networks, and analyzing a traffic increase rate of each NE(Network Element)/application port of each node and connection property between source and target addresses. A traffic information collector(210) collects traffic data from each NE. A statistics processor(220) outputs statistics data by analyzing the collected traffic information by each NE/application port. An analyzer(230) analyzes a traffic increase/decrease rate of the application port by using the statistics data. A port controller(240) blocks the traffic of the application port of which the traffic increase/decrease rate is higher than a threshold depending on an analysis result. A storing part(250) stores/provides the data processed in the traffic information collector, the statistics processor and the analyzer. The analyzer determines an abnormal state from the traffic increase/decrease rate and analyzes connection between source and target addresses of the traffic of the application port determined as the abnormal state.
Abstract translation: 提供了一种在网络级早期检测未知蠕虫和病毒的方法和装置，用于通过从各个子网络的节点收集流量信息，在早期阶段对未知蠕虫病毒进行管理，分析每个网元的流量增长率 （网元）/每个节点的应用端口和源地址和目标地址之间的连接属性。 交通信息收集器（210）从每个NE收集交通数据。 统计处理器（220）通过分析每个NE /应用端口收集的交通信息来输出统计数据。 分析器（230）通过使用统计数据分析应用端口的流量增加/减少率。 根据分析结果，端口控制器（240）阻止业务增加/减少率高于阈值的应用端口的流量。 存储部（250）存储/提供处理在交通信息采集器，统计处理器和分析器中的数据。 分析器根据流量增减速率确定异常状态，分析应用端口流量的源地址和目标地址之间的连接，确定为异常状态。
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Patent Agency Ranking
公开(公告)号：KR100826884B1
公开(公告)日：2008-05-06
申请号：KR1020060117566
申请日：2006-11-27
Applicant: 한국전자통신연구원
CPC classification number: H04L63/1441 , H04L63/20
Abstract: A network state display device using a security cube and a method therefor are provided to analyze a network attack or abnormal and harmful traffic which deteriorates the performance of a network, and to display the analyzed results, therefore a user can intuitively recognize the current network state as coping with the traffic or the attack in real time. A traffic characteristic extractor(110) extracts information on a source address, a source port, a destination address, and a destination port from network traffic, selects two pieces of the information to classify the traffic, and calculates intrinsic dispersion degree values of the rest two pieces of the information for each classification. A network state display(120) displays a 2-dimensional security cube expressed with the extracted intrinsic dispersion degree values for the classified traffic. A traffic abnormality decider(130) decides whether the traffic is abnormal by referring to the security cube.
Abstract translation: 提供一种使用安全立方体的网络状态显示装置及其方法，用于分析恶化网络性能的网络攻击或异常有害流量，并显示分析结果，因此用户可以直观地识别当前网络状态 作为应对流量或实时攻击。 流量特征提取器（110）从网络流量提取关于源地址，源端口，目的地地址和目的地端口的信息，选择两条信息以对流量进行分类，并计算其余的固有分散度值 每个分类的两条信息。 网络状态显示器（120）显示用所分类的业务量提取的固有分散度值表示的二维安全立方体。 交通异常判定器（130）通过参照安全立方来决定交通是否异常。
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公开(公告)号：KR100734852B1
公开(公告)日：2007-07-03
申请号：KR1020050116586
申请日：2005-12-01
Applicant: 한국전자통신연구원
CPC classification number: H04B7/2606 , H04W16/26 , H04W40/22 , H04W48/08 , H04W76/10
Abstract: 플로우-사각형 또는 플로우-시계를 이용한 네트워크 상태 표시 장치 및 그 방법이 개시된다. 네트워크 상태 표시 장치는 수집된 트래픽 정보를 참조하여, 소정의 기준 포트와 기준 시간에 따라 발생한 트래픽의 특성에 따른 점유 비율을 계산하여 저장하는 트래픽 특성 추출부, 계산 결과를 참조하여, 점유비율 좌표평면상에, 현재 네트워크에서 잘 알려진 포트, 그렇지 않은 포트, 매크로-플로우 및 마이크로-플로우의 트래픽 특성에 따른 점유 비율을 이용하여 표시되는 사각형과 정상상태 참조모델을 함께 표시하여 현재 네트워크의 이상상태 여부를 나타내는 트래픽 상태 표시부 및 점유비율 좌표평면 상에 그려지는 정상상태 참조모델과 현재 네트워크 상태의 사각형의 위치 또는 형태를 비교하여 네트워크의 이상 상태 유형 및 이를 유발하는 유해 트래픽 또는 비정상 트래픽을 검출하여 보고하는 트래픽 이상 판단부를 포함하며, 트래픽의 이상 특징만을 표현할 수 있는 간단한 데이터 즉, 연결시간에 따른 포트 구간별 플로우 비율, 옥텟 비율 또는 패킷 비율을 이용하여 네트워크의 성능을 저하시키는 이상 상태를 판별하고 이를 유발하는 유해 트래픽 또는 비정상 트래픽을 검출할 수 있다.
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公开(公告)号：KR100651755B1
公开(公告)日：2006-12-01
申请号：KR1020050116589
申请日：2005-12-01
Applicant: 한국전자통신연구원
Abstract: A network traffic state display device using traffic-spectrum and a method thereof are provided to decide on an abnormal state which deteriorates the performance of a network by using flow occupancy ratios for each traffic characteristic, and to detect abnormal traffic or harmful traffic that causes the abnormal state, then to automate such a process by a program, thereby quickly coping with the abnormal state without intervention of a manager. A traffic characteristic extractor(110) calculates occupancy ratios of micro-flows and macro-flows which have overall flows as a population, according to each traffic characteristic by referring to traffic characteristic traffic information of protocols, transmitting/receiving host addresses, ports, and network addresses collected by an external traffic information collector, and stores the calculated values. A traffic state display(120) displays the calculated and stored occupancy ratios in spectrum type, and provides the displayed ratios as a network-spectrum, a port-spectrum, a host-spectrum, and a protocol-spectrum. A traffic abnormality decider(130) decides whether an abnormal state of a network occurs by referring to the spectra, and if the abnormal state occurs, the decider(130) detects a type of the abnormal state and abnormal traffic or harmful traffic which causes the abnormal state to report the detected results.
Abstract translation: 提供使用业务频谱的网络业务状态显示设备及其方法，以通过使用每个业务特性的流量占用率来判定恶化网络性能的异常状态，并且检测导致该业务的异常业务或有害业务 异常状态，然后通过程序使这个过程自动化，从而在没有管理者干预的情况下快速应对异常状态。 业务量特征提取器（110）通过参考协议的业务量特征业务量信息，发送/接收主机地址，端口，根据每个业务量特征来计算总体上作为总体流量的微流和宏流的占用率 网络地址由外部流量信息收集器收集，并存储计算出的值。 业务状态显示（120）以频谱类型显示所计算和存储的占用率，并将所显示的比率提供为网络频谱，端口频谱，主机频谱和协议频谱。 业务异常判定器（130）通过参考频谱来判定是否出现网络的异常状态，并且如果发生异常状态，则判定器（130）检测异常状态的类型和异常业务或有害业务， 异常状态来报告检测结果。
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公开(公告)号：KR100651749B1
公开(公告)日：2006-12-01
申请号：KR1020050084659
申请日：2005-09-12
Applicant: 한국전자통신연구원
Abstract: A method for detecting unknown malicious traffic and a device therefor are provided to analyze and visually express relation between a lot of event information generated by malicious traffic such as a worm virus, thus emergence of the worm virus is exactly detected while spread status is intuitively and easily perceived. Analysis target data is periodically collected from traffic flow data received from equipment installed in a network, asset information and vulnerability information of the network, and alarm data which detects intrusion through the network(10). Alarm data for detection of substantially threatening intrusion is extracted according to association between system vulnerability information within the vulnerability information and an address within the asset information and destination port information and a destination address included within the alarm data(20). Traffic abnormality status is extracted by sensing the current state of traffic generation of an infected system, the current state of file transmission traffic flows and directivity of traffic flows, and the current state of access to the destination address of the alarm data extracted as being substantially threatened(30,40).
Abstract translation: 提供了一种检测未知恶意流量的方法及其装置，用于分析和直观地表达恶意流量（如蠕虫病毒）产生的大量事件信息之间的关系，从而在传播状态直观的情况下准确检测到蠕虫病毒的出现， 容易感知。 分析目标数据周期性地从安装在网络中的设备接收到的交通流数据，网络的资产信息和漏洞信息以及通过网络（10）检测入侵的警报数据中收集。 根据漏洞信息内的系统漏洞信息与资产信息和目的地端口信息内的地址以及报警数据（20）内包括的目的地地址之间的关联，提取用于检测实质性威胁入侵的报警数据。 通过感测受感染系统的流量生成的当前状态，文件传输业务流的当前状态和业务流的方向性以及当前提取的报警数据的目的地地址的当前状态，提取业务异常状态 威胁（30,40）。
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公开(公告)号：KR1020060028601A
公开(公告)日：2006-03-30
申请号：KR1020040077621
申请日：2004-09-25
Applicant: 한국전자통신연구원
IPC: H04L1/20
CPC classification number: H04L41/5032 , H04L41/142 , H04L41/145 , H04L43/16 , H04L63/1425
Abstract: 본 발명에 의한 네트워크 이상 징후 감지 장치는 네트워크 이상 징후 감지 장치는 네트워크상의 적어도 하나 이상의 트래픽 수집 지점에서 수집된 트래픽을 가공하는 전처리부; 상기 트래픽의 특성에 따라 정상 상태의 트래픽을 모델링하는 프로파일러; 상기 트래픽을 기초로 적어도 하나 이상의 임계치를 생성하여 출력하는 분석모델부; 및 상기 네트워크상의 전체 트래픽중에서 상기 트래픽의 상대적 비율과 상기 임계치를 비교하여 상기 네트워크의 이상여부를 판단하는 분석부;를 포함하는 것을 특징으로 하며 전체 트래픽에 대한 상대적인 비율을 이용한 분석 방법과 볼륨에 기반한 분석 방법을 혼합하여 사용함으로써 비율이 제공하는 트래픽 양의 상대성과 볼륨이 제공하는 절대성의 특성을 모두 고려하여 이상 상태를 판단함으로써 보다 신뢰성 있는 판단을 제공할 수 있다.
네트워크 트래픽 분석, 이상 징후 감지, 상대적 비율, 모비율
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